%0 Journal Article
%T Modeling wastewater treatment plant via hierarchical neural networks<br>污水处理过程的递阶神经网络建模
%A CONG Qiu-mei
%A CHAI Tian-you
%A YU Wen
%A <br>丛秋梅
%A 柴天佑
%A 余 文
%J 控制理论与应用
%D 2009
%I 
%X A hierarchical neural networks based on the mechanism of activated sludge process is introduced for modeling the wastewater treatment plant (WWTP) which includes multivariable and multi-nonlinear subsystems with serial structure. This approach combines the neural network and the mechanism model in a serial configuration; and the nonlinear uncertainties of the activated sludge process are estimated by neural networks. A stable learning algorithm and the theoretical analysis are given for this model based on the relations of various modeling errors among sub-processes. Operational data of a wastewater treatment plant illustrate the efficacy of this modeling approach.
%K wastewater treatment plant
%K cascaded process
%K hierarchical neural networks
%K stable learning law<br>污水处理过程
%K 串级过程
%K 递阶神经网络
%K 稳定学习律
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=BCF6BE0175F6E7B8C2279BA3116369C8&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=CA4FD0336C81A37A&sid=5D311CA918CA9A03&eid=F3583C8E78166B9E&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=2&reference_num=13