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Study on Biological Treatment of Municipal Wastewater Based on BP Fuzzy Neural Network Control

机译:基于BP模糊神经网络控制的城市污水生物处理研究。

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With the development of modern industry, a large amount of wastewater has been produced, and the process of urban wastewater treatment is characterized by time-varying, non-linear, complex and uncertain. In this paper, the B-P neural network was proposed to realize the fuzzy controller for rule inference. On the basis of the two-dimensional fuzzy controller, the relevant logic language was used to implement multi-layer neural network and control the relevant rules to form samples. Then B-P was used to carry on the correlation analysis and the computation at the same time. Finally, the S - Libelli simulation analysis was figured out. The results showed that the simulation results were very good in robustness and fault tolerance, which had practical application value.
机译:随着现代工业的发展,产生了大量的废水,城市废水的处理过程具有时变,非线性,复杂和不确定的特点。本文提出了一种B-P神经网络来实现规则推理的模糊控制器。在二维模糊控制器的基础上,采用相关的逻辑语言实现了多层神经网络,并控制了相关的规则以形成样本。然后使用B-P进行相关分析和计算。最后,得出了S-Libelli仿真分析。结果表明,仿真结果具有很好的鲁棒性和容错性,具有实际应用价值。

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