A methodology to training and optimize artificial neural networks weights and connections
نویسندگان
چکیده
This work presents a new methodology that integrates the heuristics tabu search, simulated annealing, genetic algorithms and backpropagation in a prunning and constructive way. The approach obtained promising results in the simultaneous optimization of the artificial neural network architecture and weights of four classification and one prediction problem.
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تاریخ انتشار 2004