| 基于MATLAB实现模糊神经网络模型在企业水环境中的应用 |
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| 引用本文： | 朱敏,李悦,孔范龙,郗敏.基于MATLAB实现模糊神经网络模型在企业水环境中的应用[J].绿色大世界,2012(5):150-152. |
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| 作者姓名： | 朱敏 李悦 孔范龙 郗敏 |
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| 作者单位： | [1]青岛大学化学化工与环境学院,山东青岛266071 [2]山东中烟工业有限责任公司青岛卷烟厂,山东青岛266101 |
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| 基金项目： | 国家自然科学基金资助项目（编号：41101080）;山东省自然科学基金资助项目（编号：ZR201IDQ009）;山东省研究生教育创新计划项目（编号：SDYCI1147）资助 |
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| 摘 要： | 指出了水质评价是进行水环境容量计算和实施水污染控制规划的重要基础。应用模糊神经网络原理，以某企业污水处理站的检验数据为依据，选择3个评价参数，使用MATLAB函数工具箱编程，建立了T—S模型，经过仿真得出评价结果，研究表明：该方法能正确评价水质的样本，具有较好地客观性和预测性。
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| 关 键 词： | 模糊神经网络 企业水环境 评价 |
Application of Fuzzy Neural Network Model to Evaluation of Enterprise Water Environment Based on MATLAB |
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| Authors: | Zhu Min ＇ Li Yue Kong Fanlong Xi Min |
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| Affiliation: | 1 (1. College of Chemical and Environmental Engineering, Qingdao University, Qingdao 266071, China 2. Qingdao Cigarette Factory, Qingdao 266101, China) |
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| Abstract: | Water quality evaluation is the key foundation of calculating water environmental capacity and im- plementing the planning of water pollution control. According to the fuzzy Neural Network principle, this pa- per makes a T--S model by choosing three evaluating parameters and using the MATLAB toolbox based on the test data from an enterprise waste water station. The evaluation results are obtained after the simulation, and show that this method can correctly evaluate the water quality samples because of its better objectiveness, reliability and prediction. |
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| Keywords: | fuzzy neural network enterprise environment evaluation |
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