哈尔滨工业大学学报（英文版）2004，Vol.11Issue(3)：267-269,3.
Hopfield neural network based on ant system
Hopfield neural network based on ant system
摘要
Abstract
Hopfield neural network is a single layer feedforward neural network. Hopfield network requires some control parameters to be carefully selected, else the network is apt to converge to local minimum. An ant system is a nature inspired meta heuristic algorithm. It has been applied to several combinatorial optimization problems such as Traveling Salesman Problem, Scheduling Problems, etc. This paper will show an ant system may be used in tuning the network control parameters by a group of cooperated ants. The major advantage of this network is to adjust the network parameters automatically, avoiding a blind search for the set of control parameters.This network was tested on two TSP problems, 5 cities and 10 cities. The results have shown an obvious improvement.关键词
hopfield network/ant system/TSP/combinatorial optimization problemKey words
hopfield network/ant system/TSP/combinatorial optimization problem分类
信息技术与安全科学引用本文复制引用
洪炳镕,金飞虎,郭琦..Hopfield neural network based on ant system[J].哈尔滨工业大学学报（英文版）,2004,11(3):267-269,3.基金项目
Sponsored by the National High-Technology 863 Project (Grant No. 863-2-4-1-2 ). （Grant No. 863-2-4-1-2 ）
