本文采用遗传算法来优化小波神经网络的结构,同时为了提高进化小波网络的速度,设计了一种基于实数编码的遗传算法,并提出了删除算子和增加算子等措施对遗传算法基本操作及计算过程进行了一系列改进,加快了收敛速度, 提高了算法的实用性。 In this paper, genetic algorithm is used to optimize the structure of wavelet neural network. At the same time, in order to improve the speed of the evolutionary wavelet network, a genetic algorithm based on real number coding is designed and some measures, such as deleting operator and increasing operator, A series of improvements were made in the calculation process, which accelerated the convergence speed and improved the practicability of the algorithm.