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The COD predictive technique based on neural network

机译:基于神经网络的化学需氧量预测技术

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摘要

A new online COD predictive technique is proposed in this paper for sewage treatment plants. The technique utilizes the BP neural network method and Elman neural network method to build a model and adopts the real operating data of a chemical industry to establish the model for training and simulation. The results of the simulations indicate that the process variables can be achieved through the establishment of the network model and a reasonable choice of the auxiliary input variable in the complex systems of online prediction.
机译:本文提出了一种新的在线COD预测技术,用于污水处理厂。该技术利用BP神经网络方法和Elman神经网络方法建立模型,并利用化工行业的实际运营数据来建立训练和仿真模型。仿真结果表明,在复杂的在线预测系统中,可以通过建立网络模型和合理选择辅助输入变量来实现过程变量。

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