Method for predicting sugar yield after hydrolysis of corn straw based on neural network
A technology of corn stalks and neural network, which is applied in the field of straw sugar production forecasting, can solve the problems of cumbersome and slow detection methods of sugar production, and achieve the effects of convenient independent learning, time saving and accurate prediction
Pending Publication Date: 2021-05-11
长握生物科技(江苏)有限公司
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[0004] The purpose of the present invention is to provide a neural network-based method for predicting the sugar yield of corn stalk after hydrolysis, so a
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[0028]SeeFigure 1-3The present invention provides a technical solution: a method of gaining sugar after hydrolysis of corn stalks based on neural network, the method of neural network-based predicted corn stalks after hydrolysis, as follows:
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The invention belongs to the technical field of straw sugar yield prediction, and particularly relates to a method for predicting sugar yield after hydrolysis of corn straw based on a neural network. The method comprises the following steps: measuring contents of cellulose, hemicellulose and lignin in the corn straw, water content and sugar yield after hydrolysis of the corn straw; secondly, importing measured data into a neural network, normalizing the content of cellulose, hemicellulose and lignin in the corn straw, the water content and the sugar yield after hydrolysis of the corn straw through the neural network, and then only measuring the content of cellulose, hemicellulose and lignin in the corn straw and water content; and then importing the measured data are into the neural network, so that the neural network can predict the sugar yield after hydrolysis of the corn straw. The new measured data is imported into the neural network regularly, autonomous learning of the neural network can be facilitated, and therefore the neural network can predict the sugar yield after hydrolysis of the corn straw more accurately.
Description
technical field [0001] The invention relates to the technical field of forecasting the sugar yield of corn stalks, in particular to a neural network-based method for predicting the sugar yield of corn stalks after hydrolysis. Background technique [0002] Biomass energy is the energy provided by living plants in nature. These plants use biomass as a medium to store solar energy, which is a renewable energy source. The use of renewable new energy sources to replace fossil energy sources has become a research hotspot in the future energy strategies of various countries. The main way of biomass energy and resource utilization is to pretreat biomass, and then use the pretreated biomass as glycogen to produce fermentation products. The annual output of corn stalks in my country is about 220 million tons, which has obvious resource advantages, and the main components of corn stalks, cellulose, hemicellulose and lignin, will produce a large amount of sugar after hydrolysis, so the ...
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Login to view more IPC IPC(8): G06N3/08G01D21/02
CPCG01D21/02G06N3/08
Inventor 虞龙
Owner 长握生物科技(江苏)有限公司
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