Multi-Valued Neuron with Sigmoid Activation Function for Pattern Classification

Multi-Valued Neuron (MVN) was proposed for pattern classification. It operates with complex-valued inputs, outputs, and weights, and its learning algorithm is based on error-correcting rule. The activation function of MVN is not differentiable. Therefore, we can not apply backpropagation when constructing multilayer structures. In this paper, we propose a new neuron model, MVN-sig, to simulate the mechanism of MVN with differentiable activation function. We expect MVN-sig to achieve higher performance than MVN. We run several classification benchmark datasets to compare the performance of MVN-sig with that of MVN. The experimental results show a good potential to develop a multilayer networks based on MVN-sig.

Importance Analysis of a Multi-state System Based on Direct Partial Logic Derivatives and Multi-valued Decision Diagrams

Importance analysis quantifies the critical degree of individual component. Compared with the traditional binary state system,importance analysis of the multi-state system is more aligned with the practice. Because the multi-valued decision diagram( MDD) can reflect the relationship between the components and the system state bilaterally, it was introduced into the reliability calculation of the multi-state system( MSS). The building method,simplified criteria,and path search and probability algorithm of MSS structure function MDD were given,and the reliability of the system was calculated. The computing methods of importance based on MDD and direct partial logic derivatives( DPLD) were presented. The diesel engine fuel supply system was taken as an example to illustrate the proposed method. The results show that not only the probability of the system in each state can be easily obtained,but also the influence degree of each component and its state on the system reliability can be obtained,which is conducive to the condition monitoring and structure optimization of the system.

HAAR EXPANSIONS OF A CLASS OF FRACTAL INTERPOLATION FUNCTIONS AND THEIR LOGICAL DERIVATIVES

In this paper,we study a special class of fractal interpolation functions,and give their Haar-wavelet expansions.On the basis of the expansions,we investigate the H(o|¨)lder smoothness of such functions and their logical derivatives of order α.

LOGICAL SYNTHESIS OF MOLTIVALUED SYMMETRIC FUNCTION BASED ON BINARY FULL ADDERS

This paper discusses the definition and properties of multivalued symmetric functions, points out that a multivalued symmetric function can be decomposed according to the value of the function j. The subfunction Lj corresponding to j must be a symmetric function, and it may be expressed as the sum of products form of degenerated multivalued fundamental symmetric functions. Based on this consideration, the circuit realization for the multivalued symmetric functions based on full adders is proposed.

SPECTRAL ANALYSIS OF SOME INDEPENDENCES OF MULTIPLE-VALUED LOGICAL FUNCTIONS ON THEIR VARIABLES

There are many kinds of special relationships between multiple-valued logical func-tions and their variables, and they are difficult to be judged from their expressions. In thispaper, some sufficient and necessary conditions of the independence and statistical independenceof multiple-valued logical functions on their variables are given. Some conditions of algebraicindependence of multiple-valued logical functions on some of their variables and the way to de-generate a function to the greatest extent are proposed, and some applications of these resultsare indicated. All the results are studied by using Chrestenson spectral techniques.

Spectral Characteristics of the Best Affine Approach of Multi-Output m-Valued Logical Functions

This paper discusses the best affine approach （BAA） of multi-output m-valued logical functions. First, it gives the spectra of rate of accordance between multi-output m-valued logical functions and their affine functions, then analyzes the BAA of multi-output m-valued logical functions and finally gives the spectral characteristics of BAA of multi-output m-valued logical functions.

Logical Function Decomposition Method for Synthesis of Digital Logical System Implemented with Programmable Logic Devices (PLD)

The paper consists in the use of some logical functions decomposition algorithms with application in the implementation of classical circuits like SSI, MSI and PLD. The decomposition methods use the Boolean matrix calculation. It is calculated the implementation costs emphasizing the most economical solutions. One important aspect of serial decomposition is the task of selecting “best candidate” variables for the G function. Decomposition is essentially a process of substituting two or more input variables with a lesser number of new variables. This substitutes results in the reduction of the number of rows in the truth table. Hence, we look for variables which are most likely to reduce the number of rows in the truth table as a result of decomposition. Let us consider an input variable purposely avoiding all inter-relationships among the input variables. The only available parameter to evaluate its activity is the number of “l”s or “O”s that it has in the truth table. If the variable has only “1” s or “0” s, it is the “best candidate” for decomposition, as it is practically redundant.

Uncertainties in estimation of extrapolated annual occurence rate of earthquakes using logical tree

he logical tree methods are used for evaluate quantitatively relationship between frequency and magnitude, and deduce uncertainties of annual occurrence rate of earthquakes in the periods of lower magnitude earthquake. The uncertainties include deviations from the self-similarity of frequency-magnitude relations, different fitting methods, different methods obtained the annual occurrence rate, magnitude step used in fitting, start magnitude, error of magnitude and so on. Taking Xianshuihe River source zone as an example, we analyze uncertainties of occurrence rate of earthquakes M4, which is needed in risk evaluation extrapolating from frequency-magnitude relations of stronger earthquakes. The annual occurrence rate of M4 is usually required for seismic hazard assessment.The sensitivity analysis and examinations indicate that, in the same frequencymagnitude relations fitting method, the most sensitive factor is annual occurrence rate, the second is magnitude step and the following is start magnitude. Effect of magnitude error is rather small.Procedure of estimating the uncertainties is as follows:①Establishing a logical tree described uncertainties in frequencymagnitude relations by available data and knowledge about studied region.② Calculating frequencymagnitude relations for each end branches. ③ Examining sensitivities of each uncertainty factors, amending structure of logical tree and adjusting original weights. ④ Recalculating frequencymagnitude relations of end branches and complementary cumulative distribution function (CCDF) in each magnitude intervals.⑤ Obtaining an annual occurrence rate of M4 earthquakes under given fractiles.Taking fractiles as 20% and 80%, annual occurrence rate of M 4 events in Xianshuihe seismic zone is 0.643 0. The annual occurrence rate is 0.631 8 under fractiles of 50%, which is very close to that under fractiles 20% and 80%.

CONCEPTUAL MODELING BASED ON LOGICAL EXPRESSION AND EVOLVEMENT

Aiming at the problem of abstract and polytype information modeling in product conceptual design, a method of conceptual modeling based on logical expression and evolvement is presented. Based on the logic expressions of the product conceptual design information, a fimction/logic/strucmre mapping model is set up. First, the fimction semantics is transformed into logical expressions through fimction/logic mapping. Second, the methods of logical evolvement are utilized to describe the fimction analysis, fimction/strucmre mapping and structure combination. Last, the logical structure scheme is transformed into geometrical sketch through logic/structure mapping. The conceptual design information and modeling process are described uniformly with logical methods in the model, and an effective method for computer aided conceptual design based on the model is implemented.

On the (<i>r</i>,<i>φ</i>,<i>ψ</i>)-Suzuki Contraction for the Multi-Valued Mappings

In this work we try to give a new contraction type in multi-valued mapping on complete metric spaces. We prove the existence of fixed point for (r,φ,ψ)-Suzuki contraction in such spaces. Around our paper, the function ψ is absolutely continuous, and in this case, the contraction proposed by as has a fixed point.

Fuzzy logic controller design with unevenly-distributed membership function for high performance chamber cooling system

Fuzzy logic controller adopting unevenly-distributed membership function was presented with the purpose of enhancing performance of the temperature control precision and robustness for the chamber cooling system.Histogram equalization and noise detection were performed to modify the evenly-distributed membership functions of error and error change rate into unevenly-distributed membership functions.Then,the experimental results with evenly and unevenly distributed membership functions were compared under the same outside environment conditions.The experimental results show that the steady-state error is reduced around 40% and the noise disturbance is rejected successfully even though noise range is 60% of the control precision range.The control precision is improved by reducing the steady-state error and the robustness is enhanced by rejecting noise disturbance through the fuzzy logic controller with unevenly-distributed membership function.Moreover,the system energy efficiency and lifetime of electronic expansion valve(EEV) installed in chamber cooling system are improved by adopting the unevenly-distributed membership function.

FAULT DETECTION TEST SET FOR TESTABLE REALIZATIONS OF LOGIC FUNCTIONS WITH ESOP EXPRESSIONS

The circuit testable realization and its fault detection for logic functions with ESOP (EXOR-Sum-Of-Products) expressions are studied. First of all, for the testable realization by using XOR gate cascade, a test set with 2 n + m+ 1vectors for the detections of AND bridging faults and a test set with 2n + mvectors for the detections of OR bridging faults are presented. Secondly, for the testable realization by using XOR gate tree, a test set with 2n + mvectors for the detections of AND bridging faults and a test set with 3n + m+ 1vectors for the detections of OR bridging faults are presented. Finally, a single fault test set with n + 5vectors for the XOR gate tree realization is pre- sented. Where n is the number of input variables and m is the number of product terms in a logic function.

Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms

Radial Basis Function Neural Network(RBFNN)ensembles have long suffered from non-efficient training,where incorrect parameter settings can be computationally disastrous.This paper examines different evolutionary algorithms for training the Symbolic Radial Basis Function Neural Network(SRBFNN)through the behavior’s integration of satisfiability programming.Inspired by evolutionary algorithms,which can iteratively find the nearoptimal solution,different Evolutionary Algorithms(EAs)were designed to optimize the producer output weight of the SRBFNN that corresponds to the embedded logic programming 2Satisfiability representation(SRBFNN-2SAT).The SRBFNN’s objective function that corresponds to Satisfiability logic programming can be minimized by different algorithms,including Genetic Algorithm(GA),Evolution Strategy Algorithm(ES),Differential Evolution Algorithm(DE),and Evolutionary Programming Algorithm(EP).Each of these methods is presented in the steps in the flowchart form which can be used for its straightforward implementation in any programming language.With the use of SRBFNN-2SAT,a training method based on these algorithms has been presented,then training has been compared among algorithms,which were applied in Microsoft Visual C++software using multiple metrics of performance,including Mean Absolute Relative Error(MARE),Root Mean Square Error(RMSE),Mean Absolute Percentage Error(MAPE),Mean Bias Error(MBE),Systematic Error(SD),Schwarz Bayesian Criterion(SBC),and Central Process Unit time(CPU time).Based on the results,the EP algorithm achieved a higher training rate and simple structure compared with the rest of the algorithms.It has been confirmed that the EP algorithm is quite effective in training and obtaining the best output weight,accompanied by the slightest iteration error,which minimizes the objective function of SRBFNN-2SAT.

基于有限谓词追踪的民机系统需求一致性检查方法

针对民机安全关键系统在正向研发过程中,系统级需求的正确性难以在设计早期全部完成确认的问题,提出一种基于有限谓词追踪的功能需求一致性检查体系。首先,引入一阶逻辑中的谓词追踪,建立系统内部功能需求与交互功能需求形式化规约方法。其次,针对单条、多条需求内容正确性以及需求关系一致性,构建需求一致性检查形式化规约,开展需求自冲突、集冲突与需求关系一致性检验,并生成可解释的检查反例进行需求迭代。最后,以机载平视显示(head-up display,HUD)系统飞行信息符号生成与显示功能为例,验证该方法的正确性与有效性。研究结果表明,基于有限谓词追踪的功能需求一致性检查方法能够提高需求一致性检查效率、降低研发成本,为民机系统级需求确认提供支持。

科技情报机构的智库功能

[目的/意义]支撑决策是科技情报工作的重要使命,当前科技情报机构正积极探索发挥科技智库功能的转型路径。[方法/过程]本文采用文献调查、案例比较等方法,深入分析科技情报机构智库功能的基础条件、典型做法,结合工作实际总结发挥好智库功能的实践逻辑和实现路径。[结果/结论]本文原创提出做好支撑决策的情报研究工作可以遵循的实践逻辑:坚持“从零散转化为结构,从结构整合为系统,从系统升华到体系”的层次渐进认知,贯通“感知-监测-理解-分析-预判”的实践路径,循环迭代,贴近乃至契合决策咨询需求。

论我国医疗救助托底功能的制度逻辑

托底保障是我国医疗救助制度的重要功能之一,该功能的确立应具有自身的逻辑自洽。托底功能的内涵逻辑体现在救助对象托底、医疗保障体系托底和医疗救助对象责任托底三个方面。在设定医疗救助托底标准时,除了与医疗救助托底功能所保障的公民权利相匹配外,还应综合考量制约医疗救助托底标准的相关因素。此外,医疗救助托底制度的施行也需遵循一定的逻辑。

资本功能及外部性的理论逻辑与中国式现代化

个别资本将新方法新技术应用于生产,能够提高生产力和增加财富,为劳动者财富占有上的共同富裕提供支持;也能降低个别价值,为其他资本降低工资水平、占有劳动生产的相对剩余价值转化的利润提供可能,从而影响劳动者的收入水平。中国式现代化本质要求实现高质量发展和全体人民(尤其是劳动者)共同富裕,既要发挥资本提高生产力和增加财富的积极作用,也要消除资本占有劳动生产的剩余价值的消极影响,因此必然要求创新产权制度安排,发挥资本功能的积极作用,消除资本功能的不利影响。

资本功能财富增长与共同富裕之间的内在逻辑

资本运用新方法新技术能够发展生产力和增加财富,能为全体人民共同富裕提供财富支持,但并不一定保障全体人民财富占有上的共同富裕。资本与劳动力资本相结合,既有发展生产力和增加财富的功能,又有推进全体人民共同富裕的作用。生产资料资本化为资本所有者股份和劳动力资本化为劳动者股份的新型股份制,能够实现资本和劳动力资本有机结合,能够实现劳动贡献归劳动者所有、资本贡献归资本所有者所得,有利于促进生产力发展、财富增长和全体人民共同富裕,是中国式现代化本质要求的制度创新安排。

智能座舱方向盘收纳隐藏系统功能设计

随着汽车智能技术的发展,人们对驾乘体验的智能化需求日益增多,智能座舱和智能底盘是实现这一需求的关键总成。方向盘迎宾功能是智能座舱体现舒适性和体验性的核心功能,同时,未来高等级智能驾驶汽车实现完全自主驾驶后方向盘还应具有收纳隐藏功能,以进一步拓展良好的驾乘舒适性和体验性。文章研究一种既有传统方向盘迎宾功能,又有收纳隐藏功能的智能座舱方向盘收纳隐藏系统,通过对方向盘收纳隐藏系统的构成、工作原理、控制逻辑等方面的研究,进行方向盘收纳隐藏系统的功能设计,包括电动调节功能、迎宾功能、方向盘翻转功能、电调管柱长距离收纳功能、可拓展功能等,满足了未来智能线控转向系统中的路感模拟装置需具备收纳隐藏的新技术要求。

城市社区去行政化改革的事物、职能和组织维度

近年来,去行政化一直是基层治理改革的主题。部分地方政府探索了“居站分设”“撤街强社”等模式,但由于缺乏综合性,单一线索的改革难免陷入困境。现有文献从国家社会关系和社区职能分类等视角探索去行政化改革,但由于未能全面纳入社区治理的影响因素,因而和社区治理实践存在一定的脱节。在利用事物、职能和组织逻辑的框架透视改革历程后发现,缺乏彼此配合的单一逻辑改革效果有限。住房制度改革和物业服务的市场化开辟了行政控制外的新空间,却面临业主组织支撑力度不强的难题。职能分类和准入制为社区去行政化提供了前提,但缺少组织关系改革的配合,行政性事项仍然会渗透组织边界进入居民委员会。居站分离改革为去行政化提供了组织依托,但由于缺乏系统性思维而出现了分殊。三重逻辑框架和对改革历程的分析启示,未来的去行政化要避免单一逻辑的事物职能改革或者组织改革,坚持“事物职能分类、居站分离和培育居民自治”三策并举的复合型改革,继续梳理制定社区事物职能分类目录,结合目录清单改革城市的社区居站关系,聚焦相关利益和治理环节培育居民委员会自治能力。