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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s to avoid the effects of the interaction with a substrate, unless this interaction is the object of study. A large number of studies have therefore been performed on free clusters, either in molecular beams or in devices such as storage rings or ion traps, which are devices where ions can be stored

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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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2191-530X od architecture and the adaptation of type-2 fuzzy weights.PIn this book a neural network learning method with type-2 fuzzy weight adjustment is proposed. The mathematical analysis of the proposed learning method architecture and the adaptation of type-2 fuzzy weights are presented. The proposed met

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