Issues in the Use of Neural Networks in Information Retrieval (Studies in Computational Intelligence, 661, Band 661) - Hardcover

Buch 175 von 538: Studies in Computational Intelligence

Iatan, Iuliana F.

 
9783319438702: Issues in the Use of Neural Networks in Information Retrieval (Studies in Computational Intelligence, 661, Band 661)

Inhaltsangabe

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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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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9783319829302: Issues in the Use of Neural Networks in Information Retrieval (Studies in Computational Intelligence, Band 661)

Vorgestellte Ausgabe

ISBN 10:  3319829300 ISBN 13:  9783319829302
Verlag: Springer, 2018
Softcover