摘要
介绍遗传神经网络以及运用MATLAB工具箱构造遗传神经网络的方法,并详细阐述网络实现的关键问题,包括设计网络架构、选取学习规则、进化训练权重与阈值。给出应用示例,体现出用MATLAB语言建立、训练和仿真网络的编程将会非常容易。通过与BP神经网络的比较,说明遗传神经网络的优良性能。
This paper introduces genetic-neural network, and a method using the MATLAB tool kit to design genetic-neural network is intreduced. Moreover the key issues of network＇ s realization, which include designing network architecture, selecting leaming regulation, evolutionary training weight and threshold are illustrated in detail. The application example is given out. It can be easily that creating a network, training a network and simulating a network with MATLAB language. The efficiency of genetic-meural metwork is showed with comparing the BP neural network with genetic-neural network.
出处
《信息技术》
2008年第6期73-76,80,共5页
Information Technology
