Membrane pollution multi-index identification method based on cascade neural network
A technology of neural network and identification method, which is applied in the direction of neural learning method, biological neural network model, chemical instrument and method, etc., can solve the problem that the prediction accuracy of multiple indicators of membrane pollution cannot meet the requirements, and achieve the effect of improving the prediction accuracy
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[0078] The invention proposes a multi-indicator identification model of membrane pollution based on cascaded neural network. The model considers the interference of irrelevant input variables on output indicators, and can avoid the influence of irrelevant variables on output based on the cascade structure, and through The learning algorithm adjusts the parameters of the cascaded neural network to realize the prediction of multi-indicators of membrane fouling, which solves the problem that the prediction accuracy of multi-indicators of membrane fouling cannot meet the requirements, and has high prediction accuracy and identification effect.
[0079] A multi-index identification method for membrane pollution based on a cascaded neural network, characterized in that it comprises the following steps:
[0080] (1) Determine the input and output variables of the membrane fouling multi-index identification model
[0081] Taking the sewage treatment process of the membrane bioreactor ...
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