%0 Journal Article
%T Genetic and tabu search algorithm for the optimization of neural network structure<br>一种优化神经网络结构的遗传禁忌算法
%A WANG Shu-ling
%A LI Zhen-tao
%A XING Mian
%A <br>王淑玲
%A 李振涛
%A 邢棉
%J 计算机应用
%D 2007
%I 
%X A conventional Neural Network often optimizes the weights through invariable network structure, which has limited the extensive use of the Neural Network. The crossover operator based on direction and Tabu search mutation operator was introduced. This paper put forward Genetic and Tabu search algorithm to train the neural networks, combining the merits of genetic algorithm and that of Tabu search algorithm, which makes weights and structure of artificial neural networks be optimized together. The result shows that the neural network optimized by using the presented algorithm has the advantages of quicker convergence rate and higher precision, compared with genetic algorithm and Tabu search algorithm, and that the processing ability of networks is also raised.
%K genetic and tabu search algorithm
%K neural networks
%K optimization
%K operator<br>遗传禁忌算法
%K 神经网络
%K 优化
%K 算子
%K 算法优化
%K 神经网络
%K 网络结构
%K 遗传禁忌算法
%K network
%K structure
%K neural
%K optimization
%K search
%K algorithm
%K tabu
%K 能力
%K 处理
%K 预测精度
%K 收敛速度
%K 标准遗传算法
%K 仿真实验
%K 同时优化
%K 最优权值
%K 遗传禁忌混合算法
%K 结合
%K 变异算子
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14E16CBD274305129110B8F3691E2440&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=B31275AF3241DB2D&sid=30D259683AC50F0D&eid=563A479A59477CAE&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=6