Automatic Generation of Neural Network a (Advances in Fuzzy Systems)

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9789810231064: Automatic Generation of Neural Network a (Advances in Fuzzy Systems)

This book describes the application of evolutionary computation in the automatic generation of a neural network architecture. The architecture has a significant influence on the performance of the neural network. It is the usual practice to use trial and error to find a suitable neural network architecture for a given problem. The process of trial and error is not only time-consuming but may not generate an optimal network. The use of evolutionary computation is a step towards automation in neural network architecture generation.An overview of the field of evolutionary computation is presented, together with the biological background from which the field was inspired. The most commonly used approaches to a mathematical foundation of the field of genetic algorithms are given, as well as an overview of the hybridization between evolutionary computation and neural networks. Experiments on the implementation of automatic neural network generation using genetic programming and one using genetic algorithms are described, and the efficacy of genetic algorithms as a learning algorithm for a feedforward neural network is also investigated.

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Jain, Lakhmi C.
Published by World Scientific Pub Co Inc (1997)
ISBN 10: 9810231067 ISBN 13: 9789810231064
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Prof. Lakhmi C. Jain, E. Vonk, R. P. Johnson
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ISBN 10: 9810231067 ISBN 13: 9789810231064
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Book Description World Scientific Publishing Co Pte Ltd, Singapore, 1997. Hardback. Book Condition: New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. This book describes the application of evolutionary computation in the automatic generation of a neural network architecture. The architecture has a significant influence on the performance of the neural network. It is the usual practice to use trial and error to find a suitable neural network architecture for a given problem. The process of trial and error is not only time-consuming but may not generate an optimal network. The use of evolutionary computation is a step towards automation in neural network architecture generation.An overview of the field of evolutionary computation is presented, together with the biological background from which the field was inspired. The most commonly used approaches to a mathematical foundation of the field of genetic algorithms are given, as well as an overview of the hybridization between evolutionary computation and neural networks. Experiments on the implementation of automatic neural network generation using genetic programming and one using genetic algorithms are described, and the efficacy of genetic algorithms as a learning algorithm for a feedforward neural network is also investigated. Bookseller Inventory # BTE9789810231064

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E. Vonk, L. C. Jain, R. P. Johnson
Published by World Scientific Pub Co Inc (1998)
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Book Description World Scientific Pub Co Inc, 1998. Hardcover. Book Condition: New. Bookseller Inventory # DADAX9810231067

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Lakhmi C Jain; R P Johnson; E Vonk
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Book Description World Scientific Publishing Company, 1997. Hardcover. Book Condition: New. book. Bookseller Inventory # M9810231067

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Lakhmi C. Jain; R. P. Johnson; E. Vonk
Published by Advances in Fuzzy Systems (1997)
ISBN 10: 9810231067 ISBN 13: 9789810231064
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Book Description 1997. Hardcover. Book Condition: New. Hardcover. This book describes the application of evolutionary computation in the automatic generation of a neural network architecture. The architecture has a significant influence on t.Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. 192 pages. 0.408. Bookseller Inventory # 9789810231064

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