New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks

Language: English

Published by Springer, 2016

3319340867 / 9783319340869

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - In 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 method is based on research of recent methods that handle weight adaptation and especially fuzzy weights.The internal operation of the neuron is changed to work with two internal calculations for the activation function to obtain two results as outputs of the proposed method. Simulation results and a comparative study among monolithic neural networks, neural network with type-1 fuzzy weights and neural network with type-2 fuzzy weights are presented to illustrate the advantages of the proposed method.The proposed approach is based on recent methods that handle adaptation of weights using fuzzy logic of type-1 and type-2. The proposed approach is applied to a cases of prediction for the Mackey-Glass (for ô=17) and Dow-Jones time series, and recognition of person with iris biometric measure. In some experiments, noise was applied in different levels to the test data of the Mackey-Glass time series for showing that the type-2 fuzzy backpropagation approach obtains better behavior and tolerance to noise than the other methods.The optimization algorithms that were used are the genetic algorithm and the particle swarm optimization algorithm and the purpose of applying these methods was to find the optimal type-2 fuzzy inference systems for the neural network with type-2 fuzzy weights that permit to obtain the lowest prediction error.…

Seller Inventory # 9783319340869

Title
New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks
Author
Fernando Gaxiola
Publisher
Springer
Publication year
2016
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3319340867
ISBN 13
9783319340869
Item weight
184 grams
Dimensions
235x155x7 mm

AHA-BUCH GmbH

Einbeck, Germany

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