Sewage quality monitoring method based on PLS-PSO-RBF neural network model
A neural network model and quality monitoring technology, applied to biological neural network models, neural learning methods, neural architectures, etc., to achieve the effect of ensuring accuracy
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[0052] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0053] Such as figure 1As shown, the present invention discloses a sewage quality monitoring method based on the PLS-PSO-RBF neural network model. The specific implementation of the method of the present invention will be described below in conjunction with a specific application example.
[0054] The flow of the sewage treatment plant in this implementation case is as follows: figure 2 shown. In this implementation case, a total of 212 days of measurement data were continuously collected; among them, the data vectors of the first 112 days were used for model training, and the data vectors of the last 100 days were used as the data vectors sampled in the new day to verify the quality of sewage Monitoring accuracy. It can be seen that there are only 112 samples used for training the model, which is far less than the amount of data required...
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