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1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111)最新文献

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Dynamic output feedback H/sup /spl infin// controller design of fuzzy dynamic systems using LMI techniques 采用LMI技术设计模糊动态系统的动态输出反馈H/sup /spl / infin/控制器
1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111) Pub Date : 1998-04-21 DOI: 10.1109/KES.1998.725932
Z. Han, G. Feng, Ning Zhang
{"title":"Dynamic output feedback H/sup /spl infin// controller design of fuzzy dynamic systems using LMI techniques","authors":"Z. Han, G. Feng, Ning Zhang","doi":"10.1109/KES.1998.725932","DOIUrl":"https://doi.org/10.1109/KES.1998.725932","url":null,"abstract":"Presents output feedback H/sup /spl infin// controller design methods for fuzzy dynamic systems. Three kinds of controller design methods are proposed based on a smooth Lyapunov function or a piecewise smooth Lyapunov function. The control laws are obtained by using LMI techniques and the global stability with disturbance attenuation of the closed-loop fuzzy control system is established.","PeriodicalId":394492,"journal":{"name":"1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134078960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
Reconstruction of CT images by the backpropagation algorithm 用反向传播算法重建CT图像
1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111) Pub Date : 1998-04-21 DOI: 10.1109/KES.1998.725965
Izuru Ohkawa, Satoshi Tobaru, Z. Nakao, Yenwei Chen
{"title":"Reconstruction of CT images by the backpropagation algorithm","authors":"Izuru Ohkawa, Satoshi Tobaru, Z. Nakao, Yenwei Chen","doi":"10.1109/KES.1998.725965","DOIUrl":"https://doi.org/10.1109/KES.1998.725965","url":null,"abstract":"A new and modified neural network model is proposed for CT image reconstruction from four projection data only. The model uses the well known backpropagation delta rule for adaptation of its weights. In addition to the error in projection data of the image being reconstructed, the proposed network makes use of errors in pixels between a filtered image and the reconstructed one. Improved reconstruction was obtained, and the proposed method was found to be very effective in CT image reconstruction when the given number of projection directions is very limited.","PeriodicalId":394492,"journal":{"name":"1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130363768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Entropy-based genetic algorithm for solving TSP 基于熵的遗传算法求解TSP
1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111) Pub Date : 1998-04-21 DOI: 10.1109/KES.1998.725924
Y. Tsujimura, M. Gen
{"title":"Entropy-based genetic algorithm for solving TSP","authors":"Y. Tsujimura, M. Gen","doi":"10.1109/KES.1998.725924","DOIUrl":"https://doi.org/10.1109/KES.1998.725924","url":null,"abstract":"The traveling salesman problem (TSP) is used as a paradigm for a wide class of problems having complexity due to the combinatorial explosion. The TSP has become a target for the genetic algorithm (GA) community, because it is probably the central problem in combinatorial optimization and many new ideas in combinatorial optimization have been tested on the TSP. However, by using GA for solving TSPs, we obtain a local optimal solution rather than a best approximate solution frequently. The goal of the paper is to solve the above mentioned problem about local optimal solutions by introducing a measure of diversity of populations using the concept of information entropy. Thus, we can obtain a best approximate solution of the TSP by using this entropy-based GA.","PeriodicalId":394492,"journal":{"name":"1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123738304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 60
Temporal neurofuzzy MAR algorithm for time series data in rule-based systems 基于规则系统中时间序列数据的时间神经模糊MAR算法
1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111) Pub Date : 1998-04-21 DOI: 10.1109/KES.1998.725928
N. Sisman, F. Alpaslan
{"title":"Temporal neurofuzzy MAR algorithm for time series data in rule-based systems","authors":"N. Sisman, F. Alpaslan","doi":"10.1109/KES.1998.725928","DOIUrl":"https://doi.org/10.1109/KES.1998.725928","url":null,"abstract":"Introduces a neurofuzzy model for constructing a knowledge-base of temporal fuzzy rules obtained by a MAR (multivariate autoregressive) algorithm. The model described contains two main parts which are fuzzy-rule extraction and storage of them. The fuzzy rules are obtained from time series data using the MAR algorithm. Fuzzy linear functions with fuzzy number coefficients are used. The extracted rules are fed into the temporal fuzzy multilayer feedforward neural network.","PeriodicalId":394492,"journal":{"name":"1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121426078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Energy function construction and implementation for stock exchange prediction NNs 证券交易预测神经网络的能量函数构建与实现
1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111) Pub Date : 1998-04-21 DOI: 10.1109/KES.1998.726001
A. Cristea, T. Okamoto
{"title":"Energy function construction and implementation for stock exchange prediction NNs","authors":"A. Cristea, T. Okamoto","doi":"10.1109/KES.1998.726001","DOIUrl":"https://doi.org/10.1109/KES.1998.726001","url":null,"abstract":"Neural networks (NN), with their parallel processing power, can be used as a tool to forecast stock exchange events (SEE), as a sub-domain of time-series (TS) forecasting. For the final product of SEE forecasts, other external economical factors have to be taken also into consideration and to be combined with the pure TS forecast. In this paper we present the energy function construction and implementation for SEE prediction. We focus on the mathematical deductions of the energy function and on the error minimization procedures. We present also some comparative results of our method, based on Lyapunov (also called infinite) norm, compared to the classical backpropagation method (BP), and to the random walk generator. We discuss some further optimisation of the system.","PeriodicalId":394492,"journal":{"name":"1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125724643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
Self-oscillating chaos generator using CMOS multivibrator 采用CMOS多谐振荡器的自振荡混沌发生器
1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111) Pub Date : 1998-04-21 DOI: 10.1109/KES.1998.725849
T. Tsujita, T. Irita, M. Fujishima, K. Hoh
{"title":"Self-oscillating chaos generator using CMOS multivibrator","authors":"T. Tsujita, T. Irita, M. Fujishima, K. Hoh","doi":"10.1109/KES.1998.725849","DOIUrl":"https://doi.org/10.1109/KES.1998.725849","url":null,"abstract":"A self-oscillating chaos generator was presented based on the CMOS multivibrator. Its chaotic behavior was ascertained through the SPICE simulation and the measurement on the circuit board, with the perspectives to the implementation in the 1.5 /spl mu/m CMOS LSI chips.","PeriodicalId":394492,"journal":{"name":"1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130055298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
A hierarchical fuzzy modeling method using genetic algorithm for identification of concise submodels 一种基于遗传算法的层次模糊建模方法用于简洁子模型的识别
1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111) Pub Date : 1998-04-21 DOI: 10.1109/KES.1998.725936
K. Tachibana, T. Furuhashi
{"title":"A hierarchical fuzzy modeling method using genetic algorithm for identification of concise submodels","authors":"K. Tachibana, T. Furuhashi","doi":"10.1109/KES.1998.725936","DOIUrl":"https://doi.org/10.1109/KES.1998.725936","url":null,"abstract":"Fuzzy modeling is a promising technique to describe input-output relationships of nonlinear system. This paper presents a new hierarchical fuzzy modeling method using genetic algorithm (GA). Uneven allocation of membership functions in the antecedent of each submodel in the hierarchical fuzzy model can be achieved with the proposed method. This paper introduces a simple coding method and a quick rule identification method for efficient search for a submodel using a fuzzy neural network (FNN). The obtained hierarchical fuzzy model are more concise than those identified with the conventional methods.","PeriodicalId":394492,"journal":{"name":"1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122275162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
A method for compiling neural networks into fuzzy rules using genetic algorithms and hierarchical approach 一种利用遗传算法和层次分析法将神经网络编译成模糊规则的方法
1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111) Pub Date : 1998-04-21 DOI: 10.1109/KES.1998.725933
V. Palade, S. Bumbaru, G. Negoita
{"title":"A method for compiling neural networks into fuzzy rules using genetic algorithms and hierarchical approach","authors":"V. Palade, S. Bumbaru, G. Negoita","doi":"10.1109/KES.1998.725933","DOIUrl":"https://doi.org/10.1109/KES.1998.725933","url":null,"abstract":"Neural networks have been criticized for their lack of human comprehensibility, which make them to appear as black box structures to the user. The paper proposes a mechanism that compiles a neural network into an equivalent set of fuzzy rules. Genetic algorithms are used to find the right structure of the fuzzy model equivalent with the neural network, and then to find the best shape of the membership functions. In order to reduce the number of fuzzy rules, we look for a hierarchical structure of the fuzzy system, considering the relations between the network inputs.","PeriodicalId":394492,"journal":{"name":"1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126868400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Introduction of time series data analysis using grey system theory 介绍用灰色系统理论分析时间序列数据
1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111) Pub Date : 1998-04-21 DOI: 10.1109/KES.1998.725894
Norihito Shimizu, O. Ueno, C. Komata
{"title":"Introduction of time series data analysis using grey system theory","authors":"Norihito Shimizu, O. Ueno, C. Komata","doi":"10.1109/KES.1998.725894","DOIUrl":"https://doi.org/10.1109/KES.1998.725894","url":null,"abstract":"We consider an application of the grey system theory to the time series data forecasting problem, called grey forecasting, where grey implies incomplete or uncertain, and grey system describes a system lacking information about structure messages, operation mechanism and/or behavior documents. In a case of bad data lacking information, the grey forecasting method is known to be effective in time series data analysis. We present the design of grey forecasting model, and compare it with the conventional method.","PeriodicalId":394492,"journal":{"name":"1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125655145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Competitive co-evolution based game-strategy acquisition with the packaging 基于竞争协同进化的游戏策略获取与包装
1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111) Pub Date : 1998-04-21 DOI: 10.1109/KES.1998.725970
Moeko Nerome, Kenji Yamada, S. Endo, H. Miyagi
{"title":"Competitive co-evolution based game-strategy acquisition with the packaging","authors":"Moeko Nerome, Kenji Yamada, S. Endo, H. Miyagi","doi":"10.1109/KES.1998.725970","DOIUrl":"https://doi.org/10.1109/KES.1998.725970","url":null,"abstract":"In the field of artificial intelligence, the development of a method for the acquisition of game-strategies is one of the important issues. We deal with the acquisition of a game-strategy by using a competitive co-evolution approach as a search method. The competitive co-evolution is a mechanism of interactive improvement of solutions. However, in practical games, it is not easy to acquire the best strategy by applying the competitive co-evolution model because of the complex strategy space. Therefore, to design the acquisition system of stronger game-strategy, we propose an improved competitive co-evolution model that introduces the concept of \"package\" as a set of good strategies. Creating a good package needs to collect some good strategies to defeat various kinds of opponents. We apply the algorithm to some games to show its effectiveness and efficiency.","PeriodicalId":394492,"journal":{"name":"1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125238825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
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