%0 Journal Article
%T Structure self-organizing algorithm for fuzzy neural networks and its applications<br>模糊神经网络的结构自组织算法及应用
%A QIAO Jun-fei
%A WANG Hui-dong
%A <br>乔俊飞
%A 王会东
%J 控制理论与应用
%D 2008
%I 
%X A new self-organizing algorithm for fuzzy neural networks is proposed,which automates the structure and parameter identification simultaneously based on input-target samples.Firstly,a self-organizing clustering method is used to establish the network structure and the initial values of its parameters.Then a supervised learning is applied to optimize these parameters.An example of nonlinear function approximation is given to demonstrate the effectiveness of the algo- rithm,where some comparisons are made with other approaches.Finally,based on the data of a wastewater treatment plant, a forecast model of the output-water quality is developed using the established fuzzy neural networks.Simulation results show that the output-water quality can be well predicted by the model.
%K self-organizing
%K fuzzy neural networks
%K forecast model
%K wastewater treatment<br>自组织
%K 模糊神经网络
%K 预测模型
%K 污水处理
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=52F21C04CBE37CFF834034837A7C40C8&yid=67289AFF6305E306&vid=C5154311167311FE&iid=E158A972A605785F&sid=7D2B339649A57040&eid=E008F9AD6D4B96EF&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=5&reference_num=12