利用遗传算法辅助设计人工神经网络的权值和域值

Design the Weight and Threshold of Artificial Neural Network Based on the Genetic Algorithm

利用遗传算法具有的全局随机搜索能力,设计了一个基于遗传算法的人工神经网络学习算法.利用MAT LAB进行仿真计算.实验结果表明,该算法具有明显的优越性,可以避免BP算法的不足,极大地提高了网络的学习性能,具有一定的实用性.

By using the global random hunting function of the genetic algorithm, a learning algorithm based on the genetic algorithm was designed. An emulation calculation was made on MATLAB for the genetic algorithm. Experiments show that the learning algorithm has great advantages. It can avoid the defects of the BP algorithm, and enhance the learning function of the neural network greatly, so it has practical use to a certain extent.