| 人工神经网络在油漆废水混凝氧化处理建模中的应用 |
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| 引用本文： | 豆俊峰,邹振扬,等.人工神经网络在油漆废水混凝氧化处理建模中的应用[J].土木建筑与环境工程,2002,24(2):66-69. |
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| 作者姓名： | 豆俊峰 邹振扬 |
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| 作者单位： | 重庆大学城市建设与环境工程学院 重庆400045
(豆俊峰，邹振扬)，重庆大学城市建设与环境工程学院 重庆400045(高俊敏) |
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| 基金项目： | 重庆市科委重点软课题资助项目 [渝科委计 1998(11) (5 4号 ) ] |
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| 摘 要： | 利用改进的B－P算法，对油漆废水混凝氧化处理系统建立了人工神经网络模型，并利用该模型拟合、预测了一些实验数据。结果表明，模型的计算值与实测数据之间的误差很小，而且能正确反映各影响因素作用的内部机理。
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| 关 键 词： | 人工神经网络 油漆 废水 混凝 氧化处理 |
Application of Artificial Neural Network in Modeling Paint Waste Water Treated by Coagulation Oxidation Process |
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| DOU Jun feng,ZHOU Zhen yang,GAO Jun min.Application of Artificial Neural Network in Modeling Paint Waste Water Treated by Coagulation Oxidation Process[J].土木建筑与环境工程,2002,24(2):66-69. |
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| Authors: | DOU Jun feng ZHOU Zhen yang GAO Jun min |
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| Abstract: | An artificial neural network (ANN) model was established based on data of paint waste water treated by coagulation oxidation process, using the improved back propagation algorithm. The model was then used to fit and predict some experimental data. The results indicated that the errors between computed data and experimental data were much small. Furthermore, the ANN model could correctly reflect the mechanism of some factors which affected the efficiency of paint waste water treatment. |
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| Keywords: | artificial neural network coagulation oxidation treatment paint waste water model |
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