Genetic Algorithm and Variable Feed-Forward Neural Networks

Language: English

Published by LAP LAMBERT Academic Publishing Okt 2010, 2010

3843367299 / 9783843367295

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This item is printed on demand - Print on Demand Titel. Neuware -This book focuses on the real-coded genetic algorithm and different topologies of feed-forward neural networks. Results in the following areas will be reported: (1) a real-coded genetic algorithm with new crossover and mutation operations, and its applications; (2) three different topologies of variable feed-forward neural networks, and their applications to short-term electric load forecasting and hand-written graffiti recognition. The real-coded genetic algorithm (RCGA) is one evolutionary computation technique that can tackle complex optimization problems. In this book, RCGA with new genetic operations called the average-bound crossover (ABX) and wavelet mutation (WM) will be presented. The three proposed topologies of variable feed- forward network networks are: (1) the variable- structure neural network (VSNN), (2) the variable- parameter neural network (VPNN), and (3) the variable-node-to-node-link neural network (VN2NN). By taking advantage of these networks' structures, the learning and generalization abilities of the networks can be increased. All the network parameters are tuned by the RCGA with ABX and WM.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 252 pp. Englisch.

Seller Inventory # 9783843367295

Title
Genetic Algorithm and Variable Feed-Forward Neural Networks
Author
Steve Ling
Publisher
LAP LAMBERT Academic Publishing Okt 2010
Publication year
2010
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3843367299
ISBN 13
9783843367295
Item weight
393 grams
Dimensions
220x150x16 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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