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ARTIFICIAL NEURAL NETWORKS BASED GEARS MATERIAL SELECTION HYBRID INTELLIGENT SYSTEM 被引量:1
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作者 X.C.Li W.X.Zhu +3 位作者 G.Chen D.S.Mei J.Zhang K.M.Chen 《Acta Metallurgica Sinica(English Letters)》 SCIE EI CAS CSCD 2003年第6期543-546,共4页
An artificial neural networks(ANNs) based gear material selection hybrid intelligent system is established by analyzing the individual advantages and weakness of expert system (ES) and ANNs and the applications in mat... An artificial neural networks(ANNs) based gear material selection hybrid intelligent system is established by analyzing the individual advantages and weakness of expert system (ES) and ANNs and the applications in material select of them. The system mainly consists of tow parts: ES and ANNs. By being trained with much data samples, the back propagation (BP) ANN gets the knowledge of gear materials selection, and is able to inference according to user input. The system realizes the complementing of ANNs and ES. Using this system, engineers without materials selection experience can conveniently deal with gear materials selection. 展开更多
关键词 artificial neural network expert system hybrid intelligent sys-tem gear materials selection
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Study on Missile Intelligent Fault Diagnosis System Based on Fuzzy NN Expert System 被引量:7
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作者 Yang Jun Feng Zhensheng +1 位作者 Zhang Xien & Liu Pengyuan Dept. of Missile Engineering, Ordnance Engineering College, Shijiazhuang 050003, P. R. China 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2001年第1期82-87,共6页
In order to study intelligent fault diagnosis methods based on fuzzy neural network (NN) expert system and build up intelligent fault diagnosis for a type of missile weapon system, the concrete implementation of a fuz... In order to study intelligent fault diagnosis methods based on fuzzy neural network (NN) expert system and build up intelligent fault diagnosis for a type of missile weapon system, the concrete implementation of a fuzzy NN fault diagnosis expert system is given in this paper. Based on thorough research of knowledge presentation, the intelligent fault diagnosis system is implemented with artificial intelligence for a large-scale missile weapon equipment. The method is an effective way to perform fuzzy fault diagnosis. Moreover, it provides a new way of the fault diagnosis for large-scale missile weapon equipment. 展开更多
关键词 artificial intelligence Electric fault location expert systems Fuzzy sets Missiles neural networks
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An Expert System for the Prediction of Surface Finish in Turning Process
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作者 U S Dixit K Acharyya A D Sahasrabudhe 《厦门大学学报(自然科学版)》 CAS CSCD 北大核心 2002年第S1期191-,共1页
Prediction of surface finish in turning process is a difficult but important task. Artificial Neural Networks (ANN) can reliably pred ict the surface finish but require a lot of training data. To overcome this prob le... Prediction of surface finish in turning process is a difficult but important task. Artificial Neural Networks (ANN) can reliably pred ict the surface finish but require a lot of training data. To overcome this prob lem, an expert system approach is proposed, wherein it will be possible to predi ct the surface finish from limited experiments. The expert system contains a kno wledge base prepared from machining data handbooks and number of experiments con ducted by turning steel rods, over a wide range of cutting parameters. With this knowledge base, the expert system predicts surface finish for different tool-w ork-piece combinations, by carrying out few experiments for each case. The prop osed expert system model is validated by carrying out a number of experiments. 展开更多
关键词 expert system artificial neural Network surface finish TURNING
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Design and Application of an Expert System for Equipment Maintenance and Forecast
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作者 WANG Jian PAN Kai-long +1 位作者 SHEN Yun-feng LI Jie 《International Journal of Plant Engineering and Management》 2007年第1期49-54,共6页
The maintenance and forecast expert system of equipment based on Artificial Neural Network is composed of control, measure, failure forecast, execution, data processing module and database. The data processing module ... The maintenance and forecast expert system of equipment based on Artificial Neural Network is composed of control, measure, failure forecast, execution, data processing module and database. The data processing module obtains the change of the controlled objects' structure and parameters, then takes correspondent measures according to the examination and diagnosis information. The failure forecast module finds the control system fault, separates the fault symptom location, tells the fault kind, estimates the magnitude and time of the fault, and finally makes evaluation and decision. 展开更多
关键词 EQUIPMENT forecast maintenance artificial neural network (ANN) expert system
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MOLTEN SALT PHASE DIAGRAMS CALCULATION USING ARTIFICIAL NEURAL NETWORK OR PATTERN RECOGNITION-BOND PARAMETERS PART 3.ESTIMATION OF LIQUIDUS TEMPERATURE AND EXPERT SYSTEM 被引量:3
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作者 Wang, Xueye Qiu, Guanzhou +2 位作者 Wang, Dianzuo Li, Chonghe Chen, Nianyi 《中国有色金属学会会刊:英文版》 EI CSCD 1998年第3期150-154,共5页
1INTRODUCTIONTheexperimentaldataontheliquiduslinesorsurfacesinbinaryorternarysystemsfromreferencesarealways... 1INTRODUCTIONTheexperimentaldataontheliquiduslinesorsurfacesinbinaryorternarysystemsfromreferencesarealwaysfinite.Sometimest... 展开更多
关键词 phase diagram CALCULATION artificial neural network bond parameter MOLTEN SALT system expert system
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The Principle and Architecture of a Hybrid System of a Neural Network and an Expert System in Intelligent CAD of Electrical Machines
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作者 Liu Zhenkai Gui Zhonghua Cai Qing Northwestern Polytechnical University, Xi’an, 710072 P.R. China 《International Journal of Plant Engineering and Management》 1996年第1期67-72,共6页
Using expert systems in intelligent CAD of electrical machines have limitations such as knowledge acquisition bottlenecks and matching conflict, combinatorial explosion, and endless recursion in the reasoning process.... Using expert systems in intelligent CAD of electrical machines have limitations such as knowledge acquisition bottlenecks and matching conflict, combinatorial explosion, and endless recursion in the reasoning process. This paper discusses the principle of a hybrid system of a neural network and an expert system (HNNES), i.e., knowledge representation, reasoning mechanism, and knowledge acquisition based on neural networks. An architecture of HNNES is presented in consideration of the feature of the design of electrical machines. 展开更多
关键词 neural network expert system intelligent cad electrical machine
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Study of Properties of Intermetallic Compounds of Rare Earth Metals by Artificial Neural Networks
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作者 严六明 詹千宝 +1 位作者 钦佩 陈念贻 《Journal of Rare Earths》 SCIE EI CAS CSCD 1994年第2期102-107,共6页
The results of an expert system of lanthanide intermetallic compounds using artificial neural networks and chemical bond parameter method were reported. Two pattern recognition neural models, one for prediction of the... The results of an expert system of lanthanide intermetallic compounds using artificial neural networks and chemical bond parameter method were reported. Two pattern recognition neural models, one for prediction of the occurrence of 1 : 1 lanthanide intermetallic compounds with CsClstructure and the other for prediction of congruent or incongruent melting types, were developed. Four regression neural models were also developed for prediction of melting point of these compounds. In order to get rid of overfitting, cross-vahdation method was used for the neural models. And satisfactory results were obtained in all of the neural models in this paper. 展开更多
关键词 artificial neural network Chemical bond parameter Rare earths Intermetallic compound expert system
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Artificial Neural Network Method Based on Expert Knowledge and Its Application to Quantitative Identification of Potential Seismic Sources
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作者 Hu Yinlei and Zhang YumingInstitute of Geology,SSB,Beijing 100029,China 《Earthquake Research in China》 1997年第2期64-72,共9页
In this paper,an approach is developed to optimize the quality of the training samples in the conventional Artificial Neural Network(ANN)by incorporating expert knowledge in the means of constructing expert-rule sampl... In this paper,an approach is developed to optimize the quality of the training samples in the conventional Artificial Neural Network(ANN)by incorporating expert knowledge in the means of constructing expert-rule samples from rules in an expert system,and through training by using these samples,an ANN based on expert-knowledge is further developed.The method is introduced into the field of quantitative identification of potential seismic sources on the basis of the rules in an expert system.Then it is applied to the quantitative identification of the potential seismic sources in Beijing and its adjacent area.The result indicates that the expert rule based on ANN method can well incorporate and represent the expert knowledge in the rules in an expert system,and the quality of the samples and the efficiency of training and the accuracy of the result are optimized. 展开更多
关键词 artificial neural Network Method Based on expert Knowledge and Its Application to Quantitative Identification of Potential Seismic Sources LENGTH
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Artificial Neural Network Applied to Quality Diagnosis
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作者 Yang Xu(Shandong Architectural and Civil Engineering Institute, Jinan 250014, P. R. ChinaWang Xingyuan(Shandong University of Technology, Jinan 250061, P. R. China) 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 1997年第2期73-80,共8页
In this paper, we first make a brief review on the fundamental properties of artificial neural networks (ANN) and the basic models, and explore emphatically some potential application of artificial neural networks in ... In this paper, we first make a brief review on the fundamental properties of artificial neural networks (ANN) and the basic models, and explore emphatically some potential application of artificial neural networks in the area of product quality diagnosis, prediction and control, state supervision and classification, factor recognition, and expert system based diagnosis, then set up the ANN models and expert system for quality forecasting, monitoring and diagnosing. We point out that combining ANN with other techniques will have the broad development and application of perspectives. Finally, the paper gives out some practical applications for the models and the system. 展开更多
关键词 artificial neural network (ANN) Quality diagnosis Pattern recognition expert system.
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人工神经网络与智能 CAD 被引量:4
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作者 贵忠华 刘振凯 严新民 《机械科学与技术》 EI CSCD 北大核心 1998年第3期510-513,共4页
通过分析目前CAD专家系统中存在的问题,对人工神经网络在智能CAD中应用的理论和方法进行了探讨。文中介绍了人工神经网络在模拟形象思维、知识获取、知识表示等方面的应用,并对存在的一些问题进行了详细的讨论。
关键词 人工神经网络 智能cad 专家系统 cad
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人工神经网络在CAD中应用的现状与方法研究 被引量:4
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作者 丁敬平 张昭霖 +1 位作者 刘毅 谢力生 《中南林学院学报》 CAS CSCD 2001年第2期91-95,共5页
在论述人工神经网络理论研究进展 ,分析人工神经网络模型的特点和性质的基础上 ,探讨了人工神经网络模型在现代CAD技术中的应用研究现状与发展趋势 ;阐述了人工神经网络在优化设计中的算法和在 CAD专家系统中的应用方法 。
关键词 人工神经网络 cad技术 应用方法
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CAD/CAE集成注塑工艺参数优化设计 被引量:13
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作者 刘国亮 《塑料》 CAS CSCD 北大核心 2010年第3期121-123,33,共4页
提出一种采用有限元模型转换代替几何模型转换的方法,克服几何模型转换不足,实现有限元模型从CAD系统到CAE系统方便快捷的"零失真"转换,利用Moldflow软件进行模拟,获取训练样本,应用人工神经网络技术建立注塑工艺参数值快速预... 提出一种采用有限元模型转换代替几何模型转换的方法,克服几何模型转换不足,实现有限元模型从CAD系统到CAE系统方便快捷的"零失真"转换,利用Moldflow软件进行模拟,获取训练样本,应用人工神经网络技术建立注塑工艺参数值快速预测BP网络模型。对网络的训练及参数预测的过程进行求解。将网络预测结果与模拟所得验证数据进行比较和误差分析,显示出BP网络的稳定性和可靠性。表明:CAD/CAE集成的人工神经网络技术应用于注塑参数值的快速预测和选取方面是可行的,并给出实例。 展开更多
关键词 cad/CAE集成 MOLDFLOW 人工神经网络 注塑参数 优化设计
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智能CAD的研究与进展 被引量:2
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作者 赵勇 杨明忠 《武汉汽车工业大学学报》 CAS 1996年第4期21-25,共5页
回顾了智能CAD产生与发展的过程,在肯定其作用的同时,探讨了传统CAD系统研究和应用过程中所存在不能处理模糊信息和没有自学习能力的不可克服的缺陷。提出了智能CAD的发展必须结合模糊理论和人工神经网络。最后讨论了面向并... 回顾了智能CAD产生与发展的过程,在肯定其作用的同时,探讨了传统CAD系统研究和应用过程中所存在不能处理模糊信息和没有自学习能力的不可克服的缺陷。提出了智能CAD的发展必须结合模糊理论和人工神经网络。最后讨论了面向并行工程的智能CAD的实施特点,并预测了智能CAD的研究与发展前景。 展开更多
关键词 人工智能 cad 专家系统 机械产品
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人工神经网络在飞机总体外形智能CAD中的应用
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作者 刘振凯 贵忠华 蔡青 《航空学报》 EI CAS CSCD 北大核心 1998年第6期678-684,共7页
将人工神经网络应用于飞机总体外形智能CAD中,针对现有方法的局限性,研究了参数神经网络,提出了一种综合考虑影响神经网络学习3个主要因素(权值、激励函数和拓扑结构)的WAFS学习算法,并研究了隶属函数的神经网络表达和基... 将人工神经网络应用于飞机总体外形智能CAD中,针对现有方法的局限性,研究了参数神经网络,提出了一种综合考虑影响神经网络学习3个主要因素(权值、激励函数和拓扑结构)的WAFS学习算法,并研究了隶属函数的神经网络表达和基于神经网络的并行推理,给出了有关应用实例。 展开更多
关键词 人工神经网络 飞机 总体外形 智能cad cad
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手绘 CAD 图形输入的识别
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作者 周辉 欧宗瑛 王金鹤 《机械科学与技术》 EI CSCD 北大核心 1998年第2期332-333,336,共3页
讨论了手绘CAD图形输入的识别问题,提出了手绘图形识别方法,对曲线进行线性逼近以抑制噪声并减少识别数据量,提取几何与非几何特征进行粗分段,在此基础上利用基于BP算法的神经网络分类器进行直线和圆弧的分离和识别,以正确实... 讨论了手绘CAD图形输入的识别问题,提出了手绘图形识别方法,对曲线进行线性逼近以抑制噪声并减少识别数据量,提取几何与非几何特征进行粗分段,在此基础上利用基于BP算法的神经网络分类器进行直线和圆弧的分离和识别,以正确实现分段识别并重构图形。 展开更多
关键词 手绘图 cad 曲线线性逼近 人工神经网络
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楔横轧模具智能CAD的基本构想 被引量:4
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作者 冯建春 张巍 胡正寰 《塑性工程学报》 CAS CSCD 1995年第1期61-65,共5页
本文提出了基于智能方法的楔横轧模具CAD的总体思想,旨在解决模具设计的自动化问题。采用人工神经网络、模糊方法及专家系统技术实现模具设计的工艺参数选取、轧机的选型、轧制方案的确定等,并与模具CAD相结合完成计算绘图工作。
关键词 楔横轧 专家系统 cad 模具 数值计算
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基于人工神经网络的参数化CAD方法 被引量:1
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作者 吴学石 应济 《机电工程》 CAS 2006年第4期49-52,共4页
介绍了参数化设计和人工神经网络的概念。研究了基于人工神经网络参数化CAD系统的理论原理,并验证了该方法的可行性。阐述了基于人工神经网络的参数化设计子系统的构造过程,该子系统构成了参数化CAD系统的核心部分。
关键词 人工神经网络 参数化设计 计算机辅助设计
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基于智能计算的齿轮CAD系统
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作者 曹永新 殷国富 +2 位作者 郭亚锋 王佳 江磊 《机械设计与研究》 CSCD 北大核心 2006年第3期50-53,59,共5页
为了尽可能减少齿轮设计中不确定因素造成的问题,提出了一种基于智能计算的齿轮CAD系统。本系统以材料选择专家系统为核心,利用智能计算中模糊逻辑和人工神经网络理论分别选出最佳材料类型和最优材料。通过迭代算法结合人工神经网络自... 为了尽可能减少齿轮设计中不确定因素造成的问题,提出了一种基于智能计算的齿轮CAD系统。本系统以材料选择专家系统为核心,利用智能计算中模糊逻辑和人工神经网络理论分别选出最佳材料类型和最优材料。通过迭代算法结合人工神经网络自动生成了齿轮各个参数,并实现了齿轮的优化设计。Delph i结合SQL Sever构建了系统的知识库,并提供了友好的用户设计环境。利用UG二次开发工具输出了齿轮的三维模型。 展开更多
关键词 齿轮设计 专家系统 人工神经网络 材料选择
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Intelligent Decision Support System for Bank Loans Risk Classification 被引量:1
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作者 杨保安 马云飞 俞莲 《Journal of Donghua University(English Edition)》 EI CAS 2001年第2期144-147,共4页
Intelligent Decision Support System (IISS) for Bank Loans Risk Classification (BLRC), based on the way of integration Artificial Neural Network (ANN) and Expert System (ES), is proposed. According to the feature of BL... Intelligent Decision Support System (IISS) for Bank Loans Risk Classification (BLRC), based on the way of integration Artificial Neural Network (ANN) and Expert System (ES), is proposed. According to the feature of BLRC, the key financial and non-financial factors are analyzed. Meanwhile, ES and Model Base (MB) which contain ANN are designed . The general framework,interaction and integration of the system are given. In addition, how the system realizes BLRC is elucidated in detail. 展开更多
关键词 BANK LOANS Risk Classification artificial neural Network ( ANN ) expert system ( ES ) Intelligent Decision Support system (IDSS).
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TLU训练在矿山CAD计划编制系统中的应用
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作者 郭建国 云庆夏 仪琳 《计算机技术与发展》 2006年第10期230-232,236,共4页
人工神经网络的应用日趋广泛,如何能够更好地应用于矿山生产实践中也成为当前业界的一个课题。通常矿山的计划系统不能够将相关的计划量数据动态地显现给用户。通过对矿山CAD系统的分析,利用人工神经网络中TLU训练原理应用VC++开发出了... 人工神经网络的应用日趋广泛,如何能够更好地应用于矿山生产实践中也成为当前业界的一个课题。通常矿山的计划系统不能够将相关的计划量数据动态地显现给用户。通过对矿山CAD系统的分析,利用人工神经网络中TLU训练原理应用VC++开发出了相应的CAD模块,将露天矿山生产计划指标动态显示。应用该模块编制计划提高了生产计划编制水平和编制效率。文中所提出的方法已经成功用于金堆城和洛钼集团矿山中,实践证明TLU训练原理很好地解决了矿山计划中的交互难题。 展开更多
关键词 人工神经网络 矿山cad计划系统 阈值逻辑单元训练
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