Neural network prediction and control method for water turbidity in medicine automatic cleaning process of traditional Chinese medicine decoction pieces
A technology for automatic cleaning and Chinese herbal decoction pieces, which is applied in adaptive control, cleaning methods and utensils, cleaning methods using liquids, etc., and can solve problems such as waste of resources, cleaning quality, optimization of actual conditions, and uncontrollability.
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[0056] The present invention will be further described below in conjunction with the accompanying drawings.
[0057] refer to Figure 1 ~ Figure 4 , a method for predicting and controlling water turbidity neural network in the automatic cleaning process of Chinese herbal medicine pieces, said method comprising the steps of:
[0058] 1) Record the value of the turbidity of the overflow water in the cleaning pool and the water pressure of the cleaning water pump during the automatic cleaning process of the Chinese herbal medicine decoction pieces;
[0059] 2), establish a neural network prediction model, using a two-layer Levenberg-Marquardt (Levenberg–Marquardt) neural network model, see formula (1):
[0060]
[0061] Among them, the time variable k represents the current moment, x(k), x(k+1), ..., x(k+p) are the input of the neural network prediction model at the kth, k+1, ..., k+p time respectively Vector, the control quantities u(k-1), u(k-2),..., u(k-m) are the actual ...
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