机构地区: 长春工业大学
出 处: 《系统工程理论与实践》 1999年第8期54-58,共5页
摘 要: 流体神经网络是近年来发展起来的一种新兴智能搜索方法,特别适合于求解各种路径优化问题.本文运用遗传算法进行参数选择,克服了传统流体神经网络的权值矩阵对称等限制。 The fluid neuron network (FNN) is a new intelligent searching method developed in recent years. It is suited for being used to solve many kinds of route selection problems. But the traditional FNN has some restrictions in parameter value. In this paper, we developed a method based on genetic algorithm (GA) to define the suitable range of the FNN parameters.
领 域: [自动化与计算机技术] [自动化与计算机技术]