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: Genetic algorithm is a typical evolutionary algorithm. This paper analyzes the characteristics of genetic algorithms and neural network features, to arrive at a combination of the two algorithms applied thinking. Method of comparing the use of theory to clarify the genetic algorithm using neural network performance optimization reasons, and concluded that the neural network using genetic algorithm neural network performance optimization to promote further applications. Genetic algorithm described two main methods of neural networks, discusses the genetic algorithm and neural network development status and future research trends.