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1st International Symposium on Neuro-Fuzzy Systems, AT '96. Conference Report最新文献

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System identification through neuro-fuzzy methodologies 通过神经模糊方法进行系统辨识
1st International Symposium on Neuro-Fuzzy Systems, AT '96. Conference Report Pub Date : 1996-08-29 DOI: 10.1109/ISNFS.1996.603830
A. Cucè, G. D'Angelo, M. Di Guardo, B. Giacalone, S. Mazzaglia, C. Vinci
{"title":"System identification through neuro-fuzzy methodologies","authors":"A. Cucè, G. D'Angelo, M. Di Guardo, B. Giacalone, S. Mazzaglia, C. Vinci","doi":"10.1109/ISNFS.1996.603830","DOIUrl":"https://doi.org/10.1109/ISNFS.1996.603830","url":null,"abstract":"The aim of the present work is to propose a way to identify the behaviour of an induction motor supplied by using a DC/AC converter controlled through a pulse width modulation (PWM) technique. Although a mathematical description of the motor is well-known in literature, the model is sensitive to parameters variations. Moreover it is impossible to modelize in a mathematical way the system composed by the motor and the inverter together. A neuro fuzzy network, trained with a set of I/O measures, it is able to identify the whole system. The results proposed show how the behaviour of the identified system matches the real one.","PeriodicalId":187481,"journal":{"name":"1st International Symposium on Neuro-Fuzzy Systems, AT '96. Conference Report","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114189383","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
Stochastic approximation techniques and associated tools for neural network optimization 神经网络优化的随机逼近技术及相关工具
1st International Symposium on Neuro-Fuzzy Systems, AT '96. Conference Report Pub Date : 1996-08-29 DOI: 10.1109/ISNFS.1996.603816
H. Dedieu, A. Flanagan, J. Eriksson, A. Robert
{"title":"Stochastic approximation techniques and associated tools for neural network optimization","authors":"H. Dedieu, A. Flanagan, J. Eriksson, A. Robert","doi":"10.1109/ISNFS.1996.603816","DOIUrl":"https://doi.org/10.1109/ISNFS.1996.603816","url":null,"abstract":"This paper is devoted to the optimization of feedforward and feedback artificial neural networks (ANN) working in supervised learning mode. We describe in a general way how it is possible to derive first and second order stochastic approximation methods that provide learning capabilities. We show how certain variables, the sensitivities of the ANN outputs, play a key role in the ANN optimization process. Then we describe how some useful and elementary tools known in circuit theory can be used to compute these sensitivities with a low computational cost. We show on an example how to apply these two sets of complementary tools, i.e. stochastic approximation and sensitivity theory.","PeriodicalId":187481,"journal":{"name":"1st International Symposium on Neuro-Fuzzy Systems, AT '96. Conference Report","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124852126","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
...and the perceptron is better than its reputation after all! …毕竟感知器比它的名声要好!
1st International Symposium on Neuro-Fuzzy Systems, AT '96. Conference Report Pub Date : 1996-08-29 DOI: 10.1109/ISNFS.1996.603831
A. Faessler
{"title":"...and the perceptron is better than its reputation after all!","authors":"A. Faessler","doi":"10.1109/ISNFS.1996.603831","DOIUrl":"https://doi.org/10.1109/ISNFS.1996.603831","url":null,"abstract":"A large class of functions (in one or more variables) can be approximated by a, generally, multilayer feed-forward network, in which only the weights of the last layer need to be trained. All others can be selected appropriately dependent upon the desired accuracy with which the training examples are to be approximated, but independently of the examples. Thus only a perceptron remains to be trained.","PeriodicalId":187481,"journal":{"name":"1st International Symposium on Neuro-Fuzzy Systems, AT '96. Conference Report","volume":"4 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120903552","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
Overcoming inaccuracies in optical multilayer perceptrons 克服光学多层感知器的不准确性
1st International Symposium on Neuro-Fuzzy Systems, AT '96. Conference Report Pub Date : 1996-08-29 DOI: 10.1109/ISNFS.1996.603821
P. Moerland, E. Fiesler, I. Saxena
{"title":"Overcoming inaccuracies in optical multilayer perceptrons","authors":"P. Moerland, E. Fiesler, I. Saxena","doi":"10.1109/ISNFS.1996.603821","DOIUrl":"https://doi.org/10.1109/ISNFS.1996.603821","url":null,"abstract":"All-optical multilayer perceptrons differ in various ways from the ideal neural network model. Examples are the use of non-ideal activation functions which are truncated, asymmetric, and have a non-standard gain, restriction of the network parameters to non-negative values, and the use of limited accuracy for the weights. In this paper an adaptation of the backpropagation learning rule is presented that compensates for these three non-idealities. The good performance of this learning rule is illustrated by a series of experiments. This algorithm enables the implementation of all-optical multilayer perceptrons where learning occurs under control of a computer.","PeriodicalId":187481,"journal":{"name":"1st International Symposium on Neuro-Fuzzy Systems, AT '96. Conference Report","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125985384","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
Ill-posed problems in electromagnetics: advantages of neuro-fuzzy approaches 电磁学中的病态问题:神经模糊方法的优点
1st International Symposium on Neuro-Fuzzy Systems, AT '96. Conference Report Pub Date : 1996-08-29 DOI: 10.1109/ISNFS.1996.603825
F. Morabito, M. Campolo
{"title":"Ill-posed problems in electromagnetics: advantages of neuro-fuzzy approaches","authors":"F. Morabito, M. Campolo","doi":"10.1109/ISNFS.1996.603825","DOIUrl":"https://doi.org/10.1109/ISNFS.1996.603825","url":null,"abstract":"This paper aims to show how and why a hybrid neuro-fuzzy data processing approach yields a novel, efficient way to treat ill-posed inverse problems. Two practical examples of such problems in applied computational electromagnetics are presented. The first one concerns the eddy current testing of conducting cylindrical structures in which the use of fuzzy knowledge is shown to improve the capability of discriminating within buried and surface cracks. Secondly, an identification problem in a nuclear fusion application is adequately solved by a priori resolving conflicting goals of the optimization procedure. In both examples, the fuzzy part of the system is basically used to manage the strategy of selection of the proper region of the working space. In this way, the accuracy of the identification is strongly improved. This suggest that the combined use of the fuzzy expansions and of the multidimensional feature extraction capabilities of neural networks can play a relevant role in inverse problem analysis.","PeriodicalId":187481,"journal":{"name":"1st International Symposium on Neuro-Fuzzy Systems, AT '96. Conference Report","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115522382","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
Fuzzy methods incorporated to the study of personal insurances 将模糊方法引入人身保险研究
1st International Symposium on Neuro-Fuzzy Systems, AT '96. Conference Report Pub Date : 1996-08-29 DOI: 10.1109/ISNFS.1996.603838
A. Terceño, J. de Andrés, C. Belvis, G. Barberà
{"title":"Fuzzy methods incorporated to the study of personal insurances","authors":"A. Terceño, J. de Andrés, C. Belvis, G. Barberà","doi":"10.1109/ISNFS.1996.603838","DOIUrl":"https://doi.org/10.1109/ISNFS.1996.603838","url":null,"abstract":"The price of the individual life insurance depends on the insurer's age and the technical interest rate. The first is a random variable and its performance is determined by a mortality law. The second variable traditionally has been considered a certain parameter in spite of being an uncertain variable. The purpose of this paper is to analyze how to fix premiums of some types of life insurance including the randomness of the mortality of an individual and the uncertainty associated with the interest rate that the insurance company will obtain investing the premiums.","PeriodicalId":187481,"journal":{"name":"1st International Symposium on Neuro-Fuzzy Systems, AT '96. Conference Report","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127437300","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: 19
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