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[1992 Proceedings] IEEE International Conference on Fuzzy Systems最新文献

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Design of a fuzzy controller with normalization circuits 带归一化电路的模糊控制器设计
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258686
O. Izhizuka, K. Tanno, Z. Tang, H. Matsumoto
{"title":"Design of a fuzzy controller with normalization circuits","authors":"O. Izhizuka, K. Tanno, Z. Tang, H. Matsumoto","doi":"10.1109/FUZZY.1992.258686","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258686","url":null,"abstract":"Novel fuzzy logic circuits for composing a fuzzy controller based on fuzzy inference are presented. The circuits consist of membership function circuits. MIN operation circuits, and normalization circuits using current-mode bipolar transistors. Normalization circuits are used as a defuzzifier without dividers. Simulation results demonstrating the functionality of the circuits are reported. The results show the normal and high-speed operation of the circuits.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115450244","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: 24
Compacting rules for fuzzy production system computation 模糊生产系统计算的压缩规则
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258782
A. Bugariin, S. Barro, R. Ruíz
{"title":"Compacting rules for fuzzy production system computation","authors":"A. Bugariin, S. Barro, R. Ruíz","doi":"10.1109/FUZZY.1992.258782","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258782","url":null,"abstract":"The authors analyze the inference process in fuzzy production systems which have linked rules. The process for obtaining inferences in fuzzy production systems described by a base of linked fuzzy conditional statements is characterized by a very high number of operations to be performed. During the development of the process, an important simplification may be achieved by means of a partial compaction of the rule base into punctual values. The values summarize the relationship between the linguistic values associated with the variables, which establish links between fuzzy conditional statements. As a consequence, an important reduction in the computation time and in the storage memory requirements can be achieved.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115530986","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: 14
Fuzzy control of backpropagation 反向传播的模糊控制
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258787
P. Arabshahi, J.J. Choi, R. Marks, T. P. Caudell
{"title":"Fuzzy control of backpropagation","authors":"P. Arabshahi, J.J. Choi, R. Marks, T. P. Caudell","doi":"10.1109/FUZZY.1992.258787","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258787","url":null,"abstract":"The authors propose a fuzzy logic controlled implementation of the backpropagation training algorithm for layered perceptrons. The heuristics for adjusting the value of the learning rate eta are incorporated into a simple fuzzy control system. This provides automatic tuning of the learning rate parameter depending on the shape of the error surface. The application of this straightforward procedure was shown to be able to dramatically improve training time in some problems.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129794957","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: 45
Modeling and experiments in fuzzy control 模糊控制的建模与实验
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258747
K. Wu, S. Outangoun, S. Nair
{"title":"Modeling and experiments in fuzzy control","authors":"K. Wu, S. Outangoun, S. Nair","doi":"10.1109/FUZZY.1992.258747","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258747","url":null,"abstract":"Fuzzy logic controllers can be programmed with minimal knowledge about the system dynamics and are capable of tuning their structure starting with simple rules. This capability was experimentally demonstrated for DC motor controlled mechanical systems using two load cases. In each case, the controller was initialized with rudimentary rules and experimentally tuned online using gradient descent techniques. Such control strategies provide a convenient framework to incorporate human experience and expert knowledge. A self-organizing tuning algorithm is proposed for fuzzy controllers to compensate for imprecision in modelling and for system nonlinearities.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125309736","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
Fuzzy rule based approach for robot motion control 基于模糊规则的机器人运动控制方法
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258693
G. Raju, J. Zhou
{"title":"Fuzzy rule based approach for robot motion control","authors":"G. Raju, J. Zhou","doi":"10.1109/FUZZY.1992.258693","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258693","url":null,"abstract":"A fuzzy rule based approach for robot motion control is proposed to eliminate the computational complexity of the inverse kinematics problem associated with the conventional mathematical algorithm. Based upon the study of forward kinematics, a strategy for formulating the fuzzy rule set is proposed. A hierarchy is used in structuring the rules to reduce the number of rules needed for a complete fuzzy rule set. Simulations have shown that, by consulting the fuzzy rule sets, a robot can follow the user specified trajectory within the specified error limit.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127611644","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: 13
Fuzzy semantics and fuzzy constraint networks 模糊语义与模糊约束网络
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258793
J. Bowen, R. Lai, D. Bahler
{"title":"Fuzzy semantics and fuzzy constraint networks","authors":"J. Bowen, R. Lai, D. Bahler","doi":"10.1109/FUZZY.1992.258793","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258793","url":null,"abstract":"After reviewing the notion of crisp constraint networks and their relationship to semantics in classical logic, the authors define fuzzy constraint networks and their relationship to fuzzy logic. Then they introduce Khayyam, a fuzzy constrained-based programming language which implements much of Zadeh's PRUF formalism. In Khayyam, any sentence in the first-order fuzzy predicate calculus is a well-formed constrained statement. Finally, using Khayyam to address an equipment selection application, the expressive power of constraint-based languages is illustrated.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128313870","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: 35
Region extraction for real image based on fuzzy reasoning 基于模糊推理的实景图像区域提取
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258622
K. Miyajima, T. Norita
{"title":"Region extraction for real image based on fuzzy reasoning","authors":"K. Miyajima, T. Norita","doi":"10.1109/FUZZY.1992.258622","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258622","url":null,"abstract":"An approach to extracting regions of a natural object by binarization using fuzzy reasoning is proposed. An advantage of this approach is that the threshold is obtained by fuzzy reasoning based on the shapes instead of the user having to determine the threshold by trial and error. This approach was applied to extracting the image of a real flower as an example of a natural object. In experiments, the image of a real flower was used whose color was the same as the background. It was demonstrated that the approach was more effective than statistical methods for extracting objects whose shape is almost known.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122756573","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
An architecture of neural networks for input vectors of fuzzy numbers 模糊数输入向量的神经网络结构
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258597
H. Ishibuchi, Ryosuke Fujioka, Hideo Tanaka
{"title":"An architecture of neural networks for input vectors of fuzzy numbers","authors":"H. Ishibuchi, Ryosuke Fujioka, Hideo Tanaka","doi":"10.1109/FUZZY.1992.258597","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258597","url":null,"abstract":"The authors proposed an architecture of multilayer feedforward neural networks for classification problems of fuzzy vectors. A fuzzy input vector is mapped to a fuzzy number by the proposed neural network where the activation function is extended to a fuzzy input-output relation by the extension principle. A learning algorithm is derived from a cost function defined by a target output and the level set of a fuzzy output. The proposed classification method of fuzzy vectors is illustrated by a numerical example.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"277 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122304248","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: 59
RISC approach to design of fuzzy processor architecture 采用RISC方法设计模糊处理器体系结构
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258654
H. Watanabe
{"title":"RISC approach to design of fuzzy processor architecture","authors":"H. Watanabe","doi":"10.1109/FUZZY.1992.258654","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258654","url":null,"abstract":"An attempt is made to design a fuzzy information processor as an application-specific processor using a quantitative approach. The approach was developed by reduced instruction set computer (RISC) architecture designers. The basic architecture proposed consists of a RISC as a core processor with special hardware functional units for fuzzy-logic-related operations. Fuzzy-related functional units should be either integrated into a core or placed as a coprocessor. In particular, the following two issues are considered: an instruction set for fuzzy information processing; and vector instruction for fuzzy theoretic operations.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132934880","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: 47
A superconducting fuzzy processor 一种超导模糊处理器
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258655
M. Morisue, Y. Kogure
{"title":"A superconducting fuzzy processor","authors":"M. Morisue, Y. Kogure","doi":"10.1109/FUZZY.1992.258655","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258655","url":null,"abstract":"The authors propose a novel Josephson fuzzy processor which uses Josephson junctions. The two main circuits in the fuzzy processor, an inference engine and a defuzzifier, are described. An algorithm for performing the function of a defuzzifier by mainly using compare circuits instead of multipliers and dividers is discussed. Simulation results for these circuits are illustrated. This fuzzy processor can be operated in a pipelined fashion so that the performance of the processor can be considerably improved. The simulation results show that the Josephson fuzzy processor for four rules and sixteen input levels can perform fuzzy inferences at the rate of 0.79*10/sup 9/ per second.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"95 37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129224084","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: 11
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