{"product_id":"genetic-algorithm-and-variable-feed-forward-neural-networks-von-steve-ling","title":"Genetic Algorithm and Variable Feed-Forward Neural Networks","description":"\u003cp\u003eThis 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.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783843367295\"\u003e\u003ch3\u003eTheory and application\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9783843367295","offer_id":39486432936029,"sku":"9783843367295","price":79.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/2d87bc3a-771f-4d0c-b058-9a6d4fbaf11f.jpg?v=1772780271","url":"https:\/\/shop.autorenwelt.de\/en\/products\/genetic-algorithm-and-variable-feed-forward-neural-networks-von-steve-ling","provider":"Autorenwelt Shop","version":"1.0","type":"link"}