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Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97最新文献

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Fuzzy neural network for fuzzy modeling and control 模糊神经网络用于模糊建模和控制
Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI: 10.1109/KES.1997.616899
Hung-Ching Lu
{"title":"Fuzzy neural network for fuzzy modeling and control","authors":"Hung-Ching Lu","doi":"10.1109/KES.1997.616899","DOIUrl":"https://doi.org/10.1109/KES.1997.616899","url":null,"abstract":"We propose a fuzzy neural network for fuzzy modeling and then apply the proposed network to control problems. A fuzzy model is constructed by the fuzzy partition of the considered state spaces, and then finely tuned by the proposed five-layer fuzzy neural network. After training by a prior expert knowledge of the target systems, the developed architecture can simultaneously obtain the optimal number of the fuzzy control rules and their corresponding optimal membership functions. In addition, to show its applicability, we have used examples and presented our results.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"223 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115182233","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
Fuzzy Petri nets 模糊Petri网
Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI: 10.1109/KES.1997.619416
P. Cheng, K. Forward
{"title":"Fuzzy Petri nets","authors":"P. Cheng, K. Forward","doi":"10.1109/KES.1997.619416","DOIUrl":"https://doi.org/10.1109/KES.1997.619416","url":null,"abstract":"Proposes a new model of a fuzzy Petri net and an algorithm to generate such a network automatically. As an example of the application of the fuzzy Petri net, it is used to classify the Iris data set. Although there are extensive examples of neural network-based classifiers in the literature, they all share the undesirable characteristic of a long learning time. We attempt to remedy this problem by using a totally different architecture, and the resulting Petri net attains comparable performance with conventional systems with just a few seconds of training.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122689051","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: 21
Environment exploration and navigation by multiple robots 多机器人环境探索与导航
Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI: 10.1109/KES.1997.619445
M. Piaggio, R. Zaccaria
{"title":"Environment exploration and navigation by multiple robots","authors":"M. Piaggio, R. Zaccaria","doi":"10.1109/KES.1997.619445","DOIUrl":"https://doi.org/10.1109/KES.1997.619445","url":null,"abstract":"In recent years, many different architectures have been proposed for autonomous robots that have to operate in a dynamic environment. These architectures address the problem of handling real time worlds for which classic paradigms have failed. However, little effort has been made to illustrate how different autonomous robots are supposed to cooperate in such an environment, despite the fact that most applications involving mobile autonomous vehicles require the activity of more than one entity. The paper addresses this particular problem. It presents an architecture for autonomous robots that have to or may collaborate to perform certain tasks. A practical system is also illustrated. It is in the advanced implementation phase, with prototypical vehicles operating in our department area, capable of collaborating and moving fluently even in crowded areas.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122483063","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
GAs for fuzzy modeling of noise pollution 气体噪声污染的模糊建模
Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI: 10.1109/KES.1997.616911
R. Caponetto, M. Lavorgna, A. Martinez, L. Occhipinti
{"title":"GAs for fuzzy modeling of noise pollution","authors":"R. Caponetto, M. Lavorgna, A. Martinez, L. Occhipinti","doi":"10.1109/KES.1997.616911","DOIUrl":"https://doi.org/10.1109/KES.1997.616911","url":null,"abstract":"A growing problem in town areas is noise pollution due to the increasing number of vehicles that daily cross cities. A classical approach to model this kind of system is based on numerical regression, but its performance is not satisfactory due to the nonlinearity of the considered model. A suitable approach can be therefore to determine a fuzzy model of the system. There has been a considerable number of studies on fuzzy identification, where fuzzy implications are used to express rules, in this paper the Tagaki-Sugeno approach has been adopted applying a genetic algorithm during the optimization phase. The obtained models are compared with traditional ones showing the suitability of the proposed method.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122532713","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
A structured approach for routing of MCMs 一种结构化的mcm路由方法
Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI: 10.1109/KES.1997.616917
Chua Hong Chuck, C. Chai, T. Chua
{"title":"A structured approach for routing of MCMs","authors":"Chua Hong Chuck, C. Chai, T. Chua","doi":"10.1109/KES.1997.616917","DOIUrl":"https://doi.org/10.1109/KES.1997.616917","url":null,"abstract":"This paper presents a structured methodology for routing of multichip modules (MCMs) suitable for an EDA system that can guarantee 100% completion of routes irrespective of connection density. It uses a rather simple and straightforward modularized approach which, not only guarantees 100% completion of routes, but also optimizes and predetermines the number of layers required. This approach is structured using a Pre-sorter Module (PSM) and a Central Routing Adapter (CRA). Each chip or sub-module in an MCM will go through the PSM that re-arranges the node connection sequence by means of a horizontal-vertical matrix prior to the connection to the CRA. The CRA provides direct point-to-point connections based on the netlist for all chips or sub-modules in the MCM. The set of connections between the nodes of two chips (or sub-modules) is defined as a connection relationship. The number of connection relationships is n(n-1)/2, where n is the number of chips or sub-modules. By this approach, maximum number of layers in the CRA to route all connections among the chips or sub-modules will be (n-2). The design and development of these PSM and CRA are elaborated, and a 4-chip MCM example is used for illustration.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127875836","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: 0
Industrial applications of short-term prediction on chaotic time series by local fuzzy reconstruction method 局部模糊重建方法在混沌时间序列短期预测中的工业应用
Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI: 10.1109/KES.1997.616869
T. Iokibe, M. Koyama, M. Taniguchi
{"title":"Industrial applications of short-term prediction on chaotic time series by local fuzzy reconstruction method","authors":"T. Iokibe, M. Koyama, M. Taniguchi","doi":"10.1109/KES.1997.616869","DOIUrl":"https://doi.org/10.1109/KES.1997.616869","url":null,"abstract":"The paper describes nonlinear short-term prediction as a possible application of chaos engineering. The authors developed the local fuzzy reconstruction method which is categorized as a nonlinear reconstruction method for nonlinear short-term prediction, and compared prediction performance with linear reconstruction methods, i.e. the Gram-Schumidt orthogonal system method and the tessellation method. The result is that the local fuzzy reconstruction method has advantages in prediction performance and computation time. The authors applied the local fuzzy reconstruction method to practical time series data. The paper considers the local reconstruction method as nonlinear short-term prediction and applications in industrial fields.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125449307","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: 5
Neural networks for process control of flat film extrusion systems 平面薄膜挤出系统过程控制的神经网络
Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI: 10.1109/KES.1997.619440
Stefan Markus Baginski, H. Kochs
{"title":"Neural networks for process control of flat film extrusion systems","authors":"Stefan Markus Baginski, H. Kochs","doi":"10.1109/KES.1997.619440","DOIUrl":"https://doi.org/10.1109/KES.1997.619440","url":null,"abstract":"Focuses on the improvement of an existing nonlinear control system with neural nets. Crucial for the successful exploitation of the improvement potential is the neural networks' outstanding capability for online adaption and the possibility of combining neural networks with existing physical or mathematical models. The primary result is an improved process modelling which allows process model adaption. Using the described capabilities, a predictive feedforward control/feedback control (FFC/FFB) has been developed to overcome the greatest problems in processes with long delay times. The corresponding installation is a flat film extrusion system to produce polymer sheets. Simulation results point out that optimized process control in flat film production can lead to significant material savings as well as significant improvements in product quality.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133922802","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: 0
Fuzzy system identification for composite operation and fuzzy relation by genetic algorithms 基于遗传算法的复合操作和模糊关系模糊系统辨识
Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI: 10.1109/KES.1997.616924
S. Ohtani, H. Kikuchi, R. Yager, S. Nakanishi
{"title":"Fuzzy system identification for composite operation and fuzzy relation by genetic algorithms","authors":"S. Ohtani, H. Kikuchi, R. Yager, S. Nakanishi","doi":"10.1109/KES.1997.616924","DOIUrl":"https://doi.org/10.1109/KES.1997.616924","url":null,"abstract":"Genetic Algorithms (GA) are a useful and convenient tool to find the solution in combinatorial optimal problems, and widely used in the various engineering fields. Here we apply GA to identify both of the composite operations and fuzzy relations under that operation at the same time from the given input-output system data. There exist many composite operations and associated fuzzy relations, which satisfy the same input-output system data. Then, it is supposed that many composite operations and fuzzy relations, which satisfy the original data, are generated when we apply GA to this problems. Tne authors propose a method to identify the fuzzy system from these composite operations and fuzzy relations, generated by GA, by an unweighted pair-group method using arithmetic average (UPGMA) which was developed to make a taxonomic tree of the expression in molecular biology.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132623211","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: 2
Machine-part grouping for cellular manufacturing systems: a neural network approach 元胞制造系统的机器-零件分组:神经网络方法
Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI: 10.1109/KES.1997.619439
Kyung Mi Lee, T. Yamakawa, Keon-Myung Lee
{"title":"Machine-part grouping for cellular manufacturing systems: a neural network approach","authors":"Kyung Mi Lee, T. Yamakawa, Keon-Myung Lee","doi":"10.1109/KES.1997.619439","DOIUrl":"https://doi.org/10.1109/KES.1997.619439","url":null,"abstract":"The machine cell formation problem is about grouping machines into machine families and parts into part families so as to minimize bottleneck machines, exceptional parts and inter-cell part movements in cellular and flexible manufacturing systems. This paper proposes a new machine cell formation method based on the adaptive Hamming net, which is a neural network model. To see the applicability of the method, this paper shows some experimental results and compares the proposed method with other cell formation methods. From the experiments, we can see that the proposed method can produce good cells for the machine cell formation problem.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130761092","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
Further improvements in the generalization capability of the BRAINNE technique for extracting symbolic knowledge from neural networks 从神经网络中提取符号知识的BRAINNE技术泛化能力的进一步改进
Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97 Pub Date : 1997-05-27 DOI: 10.1109/KES.1997.619419
T. Hossain, T. Dillon
{"title":"Further improvements in the generalization capability of the BRAINNE technique for extracting symbolic knowledge from neural networks","authors":"T. Hossain, T. Dillon","doi":"10.1109/KES.1997.619419","DOIUrl":"https://doi.org/10.1109/KES.1997.619419","url":null,"abstract":"The paper examines several methods for improving the generalization capability of the BRAINNE technique. These methods deal with proper training of neural networks and improvements in defining bounds for continuous data.","PeriodicalId":166931,"journal":{"name":"Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133517521","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
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