Titlebook: New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks; Fernando Gaxiola,Patricia Melin,Fevrier Valdez Book 2016 The

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Introduction,In this book we propose an adaptation of weights in the back-propagation algorithm for neural networks using type-2 and type-1 fuzzy inference systems.

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SpringerBriefs in Applied Sciences and Technologyhttp://image.papertrans.cn/n/image/664865.jpg

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https://doi.org/10.1007/978-3-319-34087-6Computational Intelligence; Neural Networks; Type-2 Fuzzy Weight; Back-propagation Algorithm for Neural

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Problem Statement and Development,he neural network to handle data with uncertainty. In the type-2 fuzzy sets, it will be necessary vary the footprint of uncertainty (FOU) of the membership functions using an optimization method to make it automatically or vary it manually for the corresponding applications [.–.].

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led derivations.Includes supplementary material: .This course-tested primer provides graduate students and non-specialists with a basic understanding of the concepts and methods of statistical physics and demonstrates their wide range of applications to interdisciplinary topics in the field of compl

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Fernando Gaxiola,Patricia Melin,Fevrier Valdezms reduces to the following. The system under consideration is decomposed into a reference model, characterized by some reference interaction potential and the same density and temperature as the original system, and a perturbation which, strictly speaking, must be small.. Properties of the referenc

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