This book highlights the ability of neural networks (NNs) to be excellent pattern matchers and their importance in information retrieval (IR), which is based on index term matching. The book defines a new NN-based method for learning image similarity and describes how to use fuzzy Gaussian neural networks to predict personality.It introduces the fuzzy Clifford Gaussian network, and two concurrent neural models: (1) concurrent fuzzy nonlinear perceptron modules, and (2) concurrent fuzzy Gaussian neural network modules.Furthermore, it explains the design of a new model of fuzzy nonlinear perceptron based on alpha level sets and describes a recurrent fuzzy neural network model with a learning algorithm based on the improved particle swarm optimization method.
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Highlights the ability of Neural Networks (NNs) to be excellent pattern matchers and their importance in information retrieval (IR) Defines a new neural-network-based method for learning image similarity and explains how to use fuzzy Gaussian neural networks to predict personality Describes the design of a new model of fuzzy nonlinear perceptron based on alpha level sets Includes supplementary material: sn.pub/extras
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Produktdetaljer

ISBN
9783319438702
Publisert
2016-10-07
Utgiver
Springer International Publishing AG
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
19

Forfatter