| 基于粒子群算法的神经网络在污水处理优化中的应用 |
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| 引用本文： | 程志强,;刘载文,;王小艺,;崔莉凤. 基于粒子群算法的神经网络在污水处理优化中的应用[J]. 北京轻工业学院学报, 2008, 0(4): 38-41 |
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| 作者姓名： | 程志强, 刘载文, 王小艺, 崔莉凤 |
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| 作者单位： | [1]北京工商大学信息工程学院,北京100037; [2]北京工商大学化学与环境工程学院,北京100037 |
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| 基金项目： | 北京市自然科学基金资助项目（4062011）;北京市高校拔尖创新人才计划项目（200589）;北京市教育委员会科技发展项目（KM200310011040）. |
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| 摘 要： | 在对污水处理模型研究的基础上，建立了神经网络污水处理模型．为进一步提高污水处理效率，降低能源消耗，提出了基于粒子群算法的污水处理神经网络优化模型，并与遗传算法神经网络优化模型进行了仿真及测试比较，结果证明了本文提出方法的优越性及有效性．
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| 关 键 词： | 污水处理 溶解氧浓度 粒子群优化算法 |
APPLICATION OF NEURAL NETWORKS BASED ON PSO ALGORITHM OPTIMIZATION IN WASTEWATER TREATMENT PROCESS |
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| Affiliation: | CHENG Zhi-qiang, LIU Zai-wen, WANG Xiao-yi, CUI Li-feng ( 1. College of Information Engineering, Beijing Technology and Business University, Beijing 100037, China ; 2. College of Chemical and Environmental Engineering, Beijing Technology and Business University, Beijing 100037, China ) |
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| Abstract: | Established the neural network model on the basis of sewage treatment model in the wastewater treatment process. In order to further enhance efficiency of wastewater treatment, reduce energy consumption, proposed the neural network optimization model of wastewater treatment based on the particle swarm algorithm, and compared with the neural network optimization model of wastewater treatment based on the Genetic Algorithm for the simulation model and testing, the results show that the method proposed in this paper is advantages and effectiveness. |
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| Keywords: | wastewater treatment dissolved oxygen concentration particle swarm optimization |
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