Title: Issues in the Use of Neural Networks in Information Retrieval (Studies in Computational Intelligence, 661)
Publisher: Springer
Publication Date: 2016
Language: English
ISBN 10: 3319438700
ISBN 13: 9783319438702
Binding: Hardcover
Condition: New

About this title

Synopsis

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.

From the Back Cover

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.

"About this title" may belong to another edition of this title.

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