Abstract
Aimed at the Liquor-making with the characteristic of huge consumption of raw materials and energy,this paper presents a predictive method of Liquor-making energy consumption based on GA-BP Neural Net.Genetic algorithm of mixed coding was used to optimize the structure and initial values,and then BP algorithm adjusted weight and thresholding accurately.Construct the B-P model by using the neural networks toolbox of MATLAB. Optimize calculation based on MATLAB genetic algorithm toolbox using the real data of water consumption,electricity consumptionand steam consumption.The prediction results agrees well with the real data.Finally factual data are used to validate the validity and the rationality of the designed result .Liquor-making energy consumption mainly is water consumption,electricity consumption and steam consumption.Results in some extent can reflect the liquor enterprise energy consumption.Experiment shows that the method is effective for the liquor enterprise energy consumption.prediction.
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