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Issues in the Use of Neural Networks in Information Retrieval: 661 (Studies in Computational Intelligence) - Hardcover
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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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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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Issues in the Use of Neural Networks in Information Retrieval (Studies in Computational Intelligence, 661)
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Issues in the Use of Neural Networks in Information Retrieval
ISBN 10: 3319438700
ISBN 13: 9783319438702
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Buch. Zustand: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 220 pp. Englisch. Artikel-Nr. 9783319438702
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Issues in the Use of Neural Networks in Information Retrieval
Verlag:
Springer International Publishing, 2016
ISBN 10: 3319438700
ISBN 13: 9783319438702
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Artikel-Nr. 9783319438702
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Issues in the Use of Neural Networks in Information Retrieval
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Issues in the Use of Neural Networks in Information Retrieval
Verlag:
Springer International Publishing AG, 2016
ISBN 10: 3319438700
ISBN 13: 9783319438702
Neu
Hardcover
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Zustand: New. Series: Studies in Computational Intelligence. Num Pages: 218 pages, 44 black & white illustrations, 44 colour illustrations, biography. BIC Classification: UYQN. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 14. Weight in Grams: 497. . 2016. Hardback. . . . . Books ship from the US and Ireland. Artikel-Nr. V9783319438702
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