期刊文献+
共找到2,899篇文章
< 1 2 145 >
每页显示 20 50 100
Alzheimer’s Disease Diagnosis Based on a Semantic Rule-Based Modeling and Reasoning Approach 被引量:1
1
作者 Nora Shoaip Amira Rezk +3 位作者 Shaker EL-Sappagh Tamer Abuhmed Sherif Barakat Mohammed Elmogy 《Computers, Materials & Continua》 SCIE EI 2021年第12期3531-3548,共18页
Alzheimer’s disease(AD)is a very complex disease that causes brain failure,then eventually,dementia ensues.It is a global health problem.99%of clinical trials have failed to limit the progression of this disease.The ... Alzheimer’s disease(AD)is a very complex disease that causes brain failure,then eventually,dementia ensues.It is a global health problem.99%of clinical trials have failed to limit the progression of this disease.The risks and barriers to detecting AD are huge as pathological events begin decades before appearing clinical symptoms.Therapies for AD are likely to be more helpful if the diagnosis is determined early before the final stage of neurological dysfunction.In this regard,the need becomes more urgent for biomarker-based detection.A key issue in understanding AD is the need to solve complex and high-dimensional datasets and heterogeneous biomarkers,such as genetics,magnetic resonance imaging(MRI),cerebrospinal fluid(CSF),and cognitive scores.Establishing an interpretable reasoning system and performing interoperability that achieves in terms of a semantic model is potentially very useful.Thus,our aim in this work is to propose an interpretable approach to detect AD based on Alzheimer’s disease diagnosis ontology(ADDO)and the expression of semantic web rule language(SWRL).This work implements an ontology-based application that exploits three different machine learning models.These models are random forest(RF),JRip,and J48,which have been used along with the voting ensemble.ADNI dataset was used for this study.The proposed classifier’s result with the voting ensemble achieves a higher accuracy of 94.1%and precision of 94.3%.Our approach provides effective inference rules.Besides,it contributes to a real,accurate,and interpretable classifier model based on various AD biomarkers for inferring whether the subject is a normal cognitive(NC),significant memory concern(SMC),early mild cognitive impairment(EMCI),late mild cognitive impairment(LMCI),or AD. 展开更多
关键词 Mild cognitive impairment Alzheimer’s disease knowledge based semantic web rule language reasoning system ADNI dataset machine learning techniques
下载PDF
A Semantic Retrieval Method Based on the Fuzzy Reasoning 被引量:1
2
作者 Cao Jia-heng,Liu Juan,Peng Min,Shu Feng-di School of Computer,Wuhan University,Wuhan 430072,Hubei, China 《Wuhan University Journal of Natural Sciences》 CAS 2002年第2期169-173,共5页
This paper gives a semantic fuzzy retrieval method of multimedia object, discusses the principle of fuzzy semantic retrieval technique, presents a fuzzy reasoning mechanism based on the knowledge base, and designs the... This paper gives a semantic fuzzy retrieval method of multimedia object, discusses the principle of fuzzy semantic retrieval technique, presents a fuzzy reasoning mechanism based on the knowledge base, and designs the relevant reasoning algorithms. Researchful results have innovative significance. 展开更多
关键词 Key words semantic retrieval fuzzy reasoning knowledge base multimedia object
下载PDF
Case-Based Reasoning for Reducing Software Development Effort 被引量:1
3
作者 Adam Brady Tim Menzies +2 位作者 Oussama El-Rawas Ekrem Kocaguneli Jacky W. Keung 《Journal of Software Engineering and Applications》 2010年第11期1005-1014,共10页
How can we best find project changes that most improve project estimates? Prior solutions to this problem required the use of standard software process models that may not be relevant to some new project. Also, those ... How can we best find project changes that most improve project estimates? Prior solutions to this problem required the use of standard software process models that may not be relevant to some new project. Also, those prior solutions suffered from limited verification (the only way to assess the results of those studies was to run the recommendations back through the standard process models). Combining case-based reasoning and contrast set learning, the W system requires no underlying model. Hence, it is widely applicable (since there is no need for data to conform to some software process models). Also, W’s results can be verified (using holdout sets). For example, in the experiments reported here, W found changes to projects that greatly reduced estimate median and variance by up to 95% and 83% (respectively). 展开更多
关键词 SOFTWARE EFFORT ESTIMATION Case based reasoning EFFORT ESTIMATION
下载PDF
Endpoint temperature prediction of molten steel in RH using improved case-based reasoning 被引量:4
4
作者 Kai Feng Hong-bing Wang +1 位作者 An-jun Xu Dong-feng He 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2013年第12期1148-1154,共7页
An improved case-based reasoning (CBR) method was proposed to predict the endpoint temperature of molten steel in Ruhrstahl Heraeus (RH) process. Firstly, production data were analyzed by multiple linear regressio... An improved case-based reasoning (CBR) method was proposed to predict the endpoint temperature of molten steel in Ruhrstahl Heraeus (RH) process. Firstly, production data were analyzed by multiple linear regressions and a pairwise comparison matrix in analytic hierarchy process (AHP) was determined by this linear regression's coefficient. The weights of various influencing factors were obtained by AHP. Secondly, the dividable principles of case base including "0-1" and "breakpoint" were proposed, and the case base was divided into several homogeneous parts. Finally, the improved CBR was compared with ordinary CBR, which is based on the even weight and the single base. The results show that the improved CBR has a higher hit rate for predicting the endpoint temperature of molten steel in RH. 展开更多
关键词 STEELMAKING DEGASSING case-based reasoning analytic hierarchy process TEMPERATURE prediction
下载PDF
Design System of the Two-step Gear Reducer on Case-based Reasoning 被引量:6
5
作者 JI Aimin HUANG Quansheng +1 位作者 XU Huanmin CHEN Zhengming 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2009年第5期671-679,共9页
The design of the two-step gear reducer is a tedious and time-consuming process. For the purpose of improving the efficiency and intelligence of design process, case-based reasoning(CBR) technology was applied to th... The design of the two-step gear reducer is a tedious and time-consuming process. For the purpose of improving the efficiency and intelligence of design process, case-based reasoning(CBR) technology was applied to the design of the two-step gear reducer. Firstly, the current design method for the two-step gear reducer was analyzed and the principle of CBR was described. Secondly, according to the characteristics of the reducer, three key technologies of CBR were studied and the corresponding methods were provided, which are as follows: (a) an object-oriented knowledge representation method, (b) a retrieval method combining the nearest neighbor with the induction indexing, and (c) a case adaptation algorithm combining the revision based on rule with artificial revision. Also, for the purpose of improving the credibility of case retrieval, a new method for determining the weights of characteristics and a similarity formula were presented, which is a combinatorial weighting method with the analytic hierarchy process(AHP) and roughness set theory. Lastly, according to the above analytic results, a design system of the two-step gear reducer on CBR was developed by VC++, UG and Access 2003. A new method for the design of the two-step gear reducer is provided in this study. If the foregoing developed system is applied to design the two-step gear reducer, design efficiency is improved, which enables the designer to release from the tedious design process of the gear reducer so as to put more efforts on innovative design. The study result fully reflects the feasibility and validity of CBR technology in the process of the design of the mechanical parts. 展开更多
关键词 two-step gear reducer case-based reasoning(CBR) weights of characteristics SIMILARITY
下载PDF
Case Based Reasoning Intelligent System for Network Computer Aided Process Planning
6
作者 ZHAO Chunhua WU Zhengjia ZHOU Chengjun ZHU Dalin LI Haoping School of Mechanical and Material,China Three Gorges University,Yichang 443002,China, 《武汉理工大学学报》 CAS CSCD 北大核心 2006年第S3期1077-1080,共4页
Computer aided process planning system played a key role for integrating design and manufacturing or assembly systems properly considering available resources and design constraints.To take advantage of the enterprise... Computer aided process planning system played a key role for integrating design and manufacturing or assembly systems properly considering available resources and design constraints.To take advantage of the enterprise resource,the web CAPP framework was established.Case based reasoning and multi agent system were integrated in the system.The multi agent mecha- nism was discussed in the paper.And an instance of case base was introduced.They made the system run independently and contin- uously in the network environment of process planning problems. 展开更多
关键词 COMPUTER aided process PLANNING multi AGENT system CASE based reasoning
下载PDF
Case-Based Reasoning for Slope Stability Evaluation and Its Application 被引量:1
7
作者 刘沐宇 《Journal of Wuhan University of Technology(Materials Science)》 SCIE EI CAS 2001年第4期62-65,共4页
Slope is a non-linear and uncertain kinetic system affected by many factors. In view of the incompleteness and uncertainty of the information of slope stability evaluation, a new method of slop stability evaluation by... Slope is a non-linear and uncertain kinetic system affected by many factors. In view of the incompleteness and uncertainty of the information of slope stability evaluation, a new method of slop stability evaluation by using case-based reasoning is presented. Considering the sensitivity of attribute weights to the environment, the algorithm of attribute weights is set up on the basis of the concept of changeable weights. Calculating the similarity between target case of the slope and base case, the stability of target case is evaluated. It is shown from examples that the method is simple, visual, practical, and convenient for use. 展开更多
关键词 case-based reasoning SLOPE slope stability comprehensive evaluation
下载PDF
HYBRID STRATIFIED ATMS AND ANN FOR CASE-BASED REASONING
8
作者 杨杰 黄欣 陆正刚 《Journal of Shanghai Jiaotong university(Science)》 EI 1999年第1期18-23,共6页
Case Based Reasoning (CBR) is a powerful problem solving technique in AI, but the traditional CBR techniques have its limitations. We hybridized stratified ATMS and ANN for CBR which can deal with case representation... Case Based Reasoning (CBR) is a powerful problem solving technique in AI, but the traditional CBR techniques have its limitations. We hybridized stratified ATMS and ANN for CBR which can deal with case representation, case retrieving, case adapting, learning from failure more effectively. The structure of our CBR system and algorithms of case base reasoning in our CBR system were presented. 展开更多
关键词 case based reasoning (CBR) STRATIFIED assumption based TRUTH maintenance system (ATMS) artificial neural network (ANN)
下载PDF
A New Action-Based Reasoning Approach for Playing Chess
9
作者 Norhan Hesham Osama Abu-Elnasr Samir Elmougy 《Computers, Materials & Continua》 SCIE EI 2021年第10期175-190,共16页
Many previous research studies have demonstrated game strategies enabling virtual players to play and take actions mimicking humans.The CaseBased Reasoning(CBR)strategy tries to simulate human thinking regarding solvi... Many previous research studies have demonstrated game strategies enabling virtual players to play and take actions mimicking humans.The CaseBased Reasoning(CBR)strategy tries to simulate human thinking regarding solving problems based on constructed knowledge.This paper suggests a new Action-Based Reasoning(ABR)strategy for a chess engine.This strategy mimics human experts’approaches when playing chess,with the help of the CBR phases.This proposed engine consists of the following processes.Firstly,an action library compiled by parsing many grandmasters’cases with their actions from different games is built.Secondly,this library reduces the search space by using two filtration steps based on the defined action-based and encoding-based similarity schemes.Thirdly,the minimax search tree is fed with a list extracted from the filtering stage using the alpha-beta algorithm to prune the search.The proposed evaluation function estimates the retrievably reactive moves.Finally,the best move will be selected,played on the board,and stored in the action library for future use.Many experiments were conducted to evaluate the performance of the proposed engine.Moreover,the engine played 200 games against Rybka 2.3.2a scoring 2500,2300,2100,and 1900 rating points.Moreover,they used the Bayeselo tool to estimate these rating points of the engine.The results illustrated that the proposed approach achieved high rating points,reaching as high as 2483 points. 展开更多
关键词 Action based reasoning case-based reasoning chess engine computer games search algorithm
下载PDF
Case-Based Reasoning(CBR) Model for Ultra-Fast Cooling in Plate Mill 被引量:1
10
作者 HU Xiao WANG Zhaodong WANG Guodong 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2014年第6期1264-1271,共8页
New generation thermo-mechanical control process(TMCP) based on ultra-fast cooling is being widely adopted in plate mill to product high-performance steel material at low cost. Ultra-fast cooling system is complex b... New generation thermo-mechanical control process(TMCP) based on ultra-fast cooling is being widely adopted in plate mill to product high-performance steel material at low cost. Ultra-fast cooling system is complex because of optimizing the temperature control error generated by heat transfer mathematical model and process parameters. In order to simplify the system and improve the temperature control precision in ultra-fast cooling process, several existing models of case-based reasoning(CBR) model are reviewed. Combining with ultra-fast cooling process, a developed R5 CBR model is proposed, which mainly improves the case representation, similarity relation and retrieval module. Certainty factor is defined in semantics memory unit of plate case which provides not only internal data reliability but also product performance reliability. Similarity relation is improved by defined power index similarity membership function. Retrieval process is simplified and retrieval efficiency is improved apparently by windmill retrieval algorithm. The proposed CBR model is used for predicting the case of cooling strategy and its capability is superior to traditional process model. In order to perform comprehensive investigations on ultra-fast cooling process, different steel plates are considered for the experiment. The validation experiment and industrial production of proposed CBR model are carried out, which demonstrated that finish cooling temperature(FCT) error is controlled within±25℃ and quality rate of product is more than 97%. The proposed CBR model can simplify ultra-fast cooling system and give quality performance for steel product. 展开更多
关键词 ultra-fast cooling plate mill case-based reasoning case representation similarity relation retrieval module
下载PDF
Temperature Prediction of Aluminum Alloy Work-Pieces in Aging Furnaces Based on Improved Case-Based Reasoning 被引量:1
11
作者 Qi Zhu Ling Shen +1 位作者 Jianjun He Weihua Gui 《International Journal of Nonferrous Metallurgy》 2017年第4期47-59,共13页
The temperature of aluminum alloy work-pieces in the aging furnace directly affects the quality of aluminum alloy products. Since the temperature of aluminum alloy work-pieces cannot be measured directly, a temperatur... The temperature of aluminum alloy work-pieces in the aging furnace directly affects the quality of aluminum alloy products. Since the temperature of aluminum alloy work-pieces cannot be measured directly, a temperature prediction model based on improved case-based reasoning (CBR) method is established to realize the online measurement of the work-pieces temperature. More specifically, the model is constructed by an advanced case-based reasoning method in which a state transition algorithm (STA) is firstly used to optimize the weights of feature attributes. In other words, STA is utilized to find the suitable attribute weights of the CBR model that can improve the accuracy of the case retrieval process. Finally, the CBR model based on STA (STCBR) was applied to predict the temperature of aluminum alloy work-pieces in the aging furnace. The results of the experiments indicated that the developed model can realize high-accuracy prediction of work-pieces temperature and it has good application prospects in the industrial field. 展开更多
关键词 Prediction Model Aluminum Alloy Case-based reasoning State TRANSITION Algorithm AGING FURNACE
下载PDF
Mineral Prospectivity Mapping Method Integrating Multi-Sources Geology Spatial Data Sets and Case-Based Reasoning 被引量:1
12
作者 Binbin He Jianhua Chen +1 位作者 Cuihua Chen Yue Liu 《Journal of Geographic Information System》 2012年第2期77-85,共9页
Extracting and synthesizing information from existing and massive amounts of geology spatial data sets is of great scientific significance and has considerable value in its applications. To make mineral exploration le... Extracting and synthesizing information from existing and massive amounts of geology spatial data sets is of great scientific significance and has considerable value in its applications. To make mineral exploration less expensive, more efficient, and more accurate, it is important to move beyond traditional concepts and establish a rapid, efficient, and intelligent method of predicting the existence and location of minerals. This paper describes a case-based reasoning (CBR) method for mineral prospectivity mapping that takes spatial features of geology data into account and offers an intelligent approach. This method include a metallogenic case representation that combines spatial and attribute features, metallogenic case-based storage organization, and a metallogenic case similarity retrieval model. The experiments were performed in the eastern Kunlun Mountains, China using CBR and weights-of-evidence (WOE), respectively. The results show that the prediction accuracy of the CBR is higher than that of the WOE. 展开更多
关键词 Mineral Prospectivity Mapping Case-based reasoning METALLOGENIC CASE Representation METALLOGENIC CASE Retrieval Eastern KUNLUN MOUNTAINS
下载PDF
ECO-Case Based Reasoning Tool for Environmental Product Design
13
作者 Marziah Abdul Wahab Nurul Aini Othman Awanis Romli 《Journal of Computer Science Research》 2019年第2期22-29,共8页
Case Based Reasoning(CBR)is one of the artificial intelligent methodologies that is widely used in problem solving by reusing the most similar previous experiences stored in the library.A framework of ECO-CBR for Life... Case Based Reasoning(CBR)is one of the artificial intelligent methodologies that is widely used in problem solving by reusing the most similar previous experiences stored in the library.A framework of ECO-CBR for Life Cycle Assessment data collection has been used and the process was carried out using SolidWorks program.The practicality of the tool has been validated using case study,which then provides solution.The output enable researchers to determine forecast error and forecast accuracy,by valuing the calculation from Total Carbon Footprint,Energy Consumption,Air Acidification,and Water Eutrophication.ECO-CBR is able to assist designers in product design.Due to the limitation of environmental impact consideration in product sustainability,there is a demand to propose a tool that can assist designers to reduce environmental impact of product design at early stage.The model works as an essential guideline to lessen repeated mistakes in the product development process and help designers measure the risks before concluding ideal decisions.Minor errors that occur through the study showed that ECO-CBR is reliable to be implemented in order to find a better solution. 展开更多
关键词 CBR Case based reasoning Tool Eco-product design ECO-DESIGN Product sustainability Environmental impact
下载PDF
Development of High-speed Machining Database with Case-based Reasoning
14
作者 WANG Zun-tong, LIU Zhan-qiang, AI Xing (School of Mechanical Engineering, Shandong University, Jinan 250061, China) 《厦门大学学报(自然科学版)》 CAS CSCD 北大核心 2002年第S1期48-49,共2页
Applying high-speed machining technology in shop floor has many benefits, such as manufacturing more accurate parts with better surface finishes. The selection of the appropriate machining parameters plays a very impo... Applying high-speed machining technology in shop floor has many benefits, such as manufacturing more accurate parts with better surface finishes. The selection of the appropriate machining parameters plays a very important role in the implementation of high-speed machining technology. The case-based reasoning is used in the developing of high-speed machining database to overcome the shortage of available high-speed cutting parameters in machining data handbooks and shop floors. The high-speed machining database developed in this paper includes two main components: the machining database and the case-base. The machining database stores the cutting parameters, cutting tool data, work pieces and their materials data, and other relative data, while the case-base stores mainly the successfully solved cases that are problems of work pieces and their machining. The case description and case retrieval methods are described to establish the case-based reasoning high-speed machining database. With the case retrieval method, some succeeded cases similar to the new machining problem can be retrieved from the case-base. The solution of the most matched case is evaluated and modified, and then it is regarded as the proposed solution to the new machining problem. After verification, the problem and its solution are packed up into a new case, and are stored in the case-base for future applications. 展开更多
关键词 case-based reasoning high-speed machining DATAbase CASE
下载PDF
Assessing Students' Moral Reasoning of a Values-Based Education
15
作者 Di You Neil H. Penny 《Psychology Research》 2011年第6期385-391,共7页
关键词 本科学生 教育评估 道德 推理 价值观 基础 社区服务 数据收集
下载PDF
Research on and implementation of a knowledge-reasoning based evaluation support system
16
作者 JIANG Hua, GAO Guo-an (Advanced Manufacturing Technology Center, Harbin Institute of Technology, Harbin 150001, China) 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2000年第S1期101-103,共3页
An evaluation support system involving complicated decision making problems during engineering design of products is introduced by first describng and modeling complicated decision making problems, and then constructi... An evaluation support system involving complicated decision making problems during engineering design of products is introduced by first describng and modeling complicated decision making problems, and then constructing and describing the architecture and functional structure of an evaluation support system, based on knowledge-based reasoning. Knowledge contains important experience of field-expert and can be classified and stored in knowledge bases, and therefore, the system suggests information-processing tools based on information resources including data knowledge bases and methods bases, which can be used to evaluate the designs against the multi-criteria decision framework thereby providing decision-makers with rational and scientific information. 展开更多
关键词 KNOWLEDGE-based reasoning MULTI-CRITERIA DECISION EVALUATION support system
下载PDF
Automatic Generation of Setup for CNC Spring Coiler Based on Case-based Reasoning
17
作者 KU Xiangchen~(1,2) WANG Runxiao~1 LI Jishun~2 WANG Dongbo~1 (1.School of Mechatronics Engineering,Northwestern Polytechnical University,Xi’an 710072,China, 2.School of Mechatronics Engineering,Henan University of Science and Technology,Lnoyang 471003,China) 《武汉理工大学学报》 CAS CSCD 北大核心 2006年第S3期1016-1019,共4页
When producing special-shape spring in CNC spring coiler,the setup of the coiler is often a manual work using a trial-and-error method.As a result,the setup of coiler consumes so much time and becomes the bottleneck o... When producing special-shape spring in CNC spring coiler,the setup of the coiler is often a manual work using a trial-and-error method.As a result,the setup of coiler consumes so much time and becomes the bottleneck of the spring production process.In order to cope with this situation,this paper proposes an automatic generation system of setup for CNC spring coiler us- ing case-based reasoning(CBR).The core of the study contains:(1)integrated reasoning model of CBR system;(2)spatial shape describe of special-shape spring based on feature;(3)coiling case representation using shape feature matrix;and(4)case similari- ty measure algorithm.The automatic generation system has implemented with C++Builder 6.0 and is helpful in improving the automaticity and efficiency of spring coiler. 展开更多
关键词 case-based reasoning CNC SPRING COILER SETUP automatic generation shape FEATURE
下载PDF
Research of Genetic Training Algorithm for Identifying Mechanical Failure Modes within the Framework of Case-Based Reasoning
18
作者 徐元铭 张洋 陈丽娜 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2005年第2期122-129,共8页
The combination of case-based reasoning (CBR) and genetic algorithm (GA) is considered in the problem of failure mode identification in aeronautical component failure analysis. Several imple- mentation issues such... The combination of case-based reasoning (CBR) and genetic algorithm (GA) is considered in the problem of failure mode identification in aeronautical component failure analysis. Several imple- mentation issues such as matching attributes selection, similarity measure calculation, weights learning and training evaluation policies are carefully studied. The testing applications illustrate that an accuracy of 74.67 % can be achieved with 75 balanced-distributed failure cases covering 3 failure modes, and that the resulting learning weight vector can be well applied to the other 2 failure modes, achieving 73.3 % of recognition accuracy. It is also proved that its popularizing capability is good to the recognition of even more mixed failure modes. 展开更多
关键词 failure mode identification case-based reasoning genetic algorithm learning train
下载PDF
Case-Based Reasoning Topological Complexity Calculation of Design for Components
19
作者 李高正 黄小平 师汉民 《Journal of Modern Transportation》 2001年第2期158-168,共11页
Directly calculating the topolo gi cal and geometric complexity from the STEP (standard for the exchange of product model data, ISO 10303) file is a huge task. So, a case-based reasoning approac h is presented, which... Directly calculating the topolo gi cal and geometric complexity from the STEP (standard for the exchange of product model data, ISO 10303) file is a huge task. So, a case-based reasoning approac h is presented, which is based on the similarity between the new component and t he old one, to calculate the topological and geometric complexity of new compone nts. In order to index, retrieve in historical component database, a new way of component representation is brought forth. And then an algorithm is given to ext ract topological graph from its STEP files. A mathematical model, which describe s how to compare the similarity, is discussed. Finally, an example is given to s how the result. 展开更多
关键词 topological complexity component representation case-based reasoning
下载PDF
A Case-Based Reasoning System for Aiding Physicians in Decision Making
20
作者 Venkata A. Paruchuri Bobby C. Granville 《Intelligent Information Management》 2020年第2期63-74,共12页
Physicians gather a vast amount of information about patients’ medical procedures, treatments, insurance coverage, and other clinical data. Such information is crucial in formulating diagnosis or treatment plans for ... Physicians gather a vast amount of information about patients’ medical procedures, treatments, insurance coverage, and other clinical data. Such information is crucial in formulating diagnosis or treatment plans for patients with similar traits. A Case-Based Reasoning (CBR) system has been developed to address the effective organization and retrieval of vital patient information to aid physicians in making decisions. Integers are used to uniquely represent various medical procedures, treatments, etc. In this research, a new algorithm is presented to retrieve suitable cases to recommend to physicians. The system is tested in a simulated environment and the results prove that the system can adapt to changes such as new medical procedures or treatments that take place in the medical field. 展开更多
关键词 Case-based reasoning CBR MEDICINE RECOMMENDATION
下载PDF
上一页 1 2 145 下一页 到第
使用帮助 返回顶部