Issues in the Use of Neural Networks in Information Retrieval (Hardcover, 1st ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 661
Release date:	October 2016
First published:	2017
Authors:	Iuliana F. Iatan
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Hardcover
Pages:	199
Edition:	1st ed. 2017
ISBN-13:	978-3-319-43870-2
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
LSN:	3-319-43870-0
Barcode:	9783319438702

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