Abstract
In dealing with the design of neural network's structure and drawbacks of the normal design methods, this paper proposes a new method for designing the multilayer perceptron neural network (MLPNN) structure based on species evolutionary genetic algorithms. This method of combining the neural network (NN) and genetic algorithm (GA) has the superiority of NN's structure training speed and fitness. The simulation and application demonstrate the effectiveness of the method.
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