Metaheuristic Procedures for Training Neural Networks
Publication year: 2006
ISBN: 978-0-387-33416-5
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Metaheuristic Procedures For Training Neural Networks provides successful implementations of metaheuristic methods for neural network training. Apart from Chapter 1, which reviews classical training methods, the chapters are divided into three main categories. The first one is devoted to local search based methods, including Simulated Annealing, Tabu Search, and Variable Neighborhood Search.
Subject: Business and Economics, Approximation, algorithm, algorithms, artificial intelligence, distribution, genetic algorithms, metaheuristic, neural network, optimization
