%0 Journal Article
%T Application of T-S neural network in prediction for anaerobic bioreactors<br>T-S模糊神经网络在厌氧反应器预测中的应用
%A Cao Gang
%A Li Mingyu
%A Wang Jun
%A Fang Xianbao
%A <br>曹刚
%A 李明玉
%A 王君
%A 房献宝
%J 环境工程学报
%D 2007
%I 
%X After the three bioreactors became steady-state, they were shocked by the chloroform and 2, 4-dinitrophenol. The T-S fuzzy neural networks were created based on the database collected from the anaerobic system shock, and were used to predict the biogas production rate, volatile fatty acid and CH4 of the bioreactors. The results showed that the fuzzy neural network based on a bioreactor can perfectly predict performance of the bioreator, its correlation coefficients of observed and simulated values were above 0.850 for both training data set and testing data set. But the fuzzy neural network based on a bioreator could not predict well the other bioreactor, the values of correlation coefficients of observed and simulated were below 0.500 for the biogas production rate, volatile fatty acid and CH4.
%K fuzzy neural network
%K toxic load
%K anaerobic bioreactor
%K prediction<br>模糊神经网络
%K 毒物负荷
%K 厌氧反应器
%K 预测
%K 模糊
%K 神经网络
%K 厌氧反应器
%K 预测能力
%K 应用
%K anaerobic
%K prediction
%K neural
%K network
%K 相关系数
%K 预测值
%K 实测值
%K 变化规律
%K 毒物负荷冲击
%K 结果
%K 研究
%K 体积含量
%K 挥发性脂肪酸
%K 产气率
%K 容积
%K 数据集
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=3FF3ABA7486768130C3FF830376F43B398E0C97F0FF2DD53&cid=92E6F4267FD4CBCB51B1E49E014D8054&jid=3567BD61129AA59043F5DE01F8815DB5&aid=E1DE5610D3B9733EA14F6D5E7EFF5FF5&yid=A732AF04DDA03BB3&vid=CA4FD0336C81A37A&iid=708DD6B15D2464E8&sid=EFD65B51496FB200&eid=AE09EACBCD1B2A13&journal_id=1673-9108&journal_name=环境工程学报&referenced_num=0&reference_num=11