%0 Journal Article
%T Realization of system converse solution based on process neural networks and genetic algorithm<br>用过程神经网络和遗传算法实现系统逆向求解
%A LI Pan-chi
%A <br>李盼池
%J 控制理论与应用
%D 2005
%I 
%X A optimization algorithm of process neural networks and genetic algorithm(PNN-GA) is proposed,it aims at determining MIMO system input by the system model and desired output.First,the process neural networks(PNN) that represent the mapping relation between input and output of the system is founded according to system field knowledge and training sample sets.Secondly,fitness function of genetic algorithm(GA) is constructed according to PNN output error.Based on the desired output of the system,we determined the process input signal which conforms to the PNN mapping relation that was found,thus the system converse process solution is accomplished.The general realization approach is presented in this paper.An application example is given to illustrate the applicability of the approach.
%K process neural networks
%K genetic algorithm
%K process control
%K converse solution<br>过程神经网络
%K 遗传算法
%K 过程控制
%K 逆向求解
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=7ED0A3FEF2ED299A&yid=2DD7160C83D0ACED&vid=BC12EA701C895178&iid=B31275AF3241DB2D&sid=2DEC3FE1EFC628C2&eid=7E7F5B01D43BD73F&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=3&reference_num=6