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Application of Improved Gray Genetic Algorithm in Price Anticipating

Author: WangXin
Tutor: LiuDaYou
School: Jilin University
Course: Applied Computer Technology
Keywords: Gray model Genetic Algorithms Genetic algorithm to improve the gray model Web Applications
CLC: F714
Type: Master's thesis
Year: 2010
Downloads: 210
Quote: 2
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Abstract


The gray system theory is the study of those who have neither experience, data and less uncertainty, less data uncertainty \The gray theory forecasting model GM (1,1), multi-variable gray model GM (1, N), Grey Verhulst model and so on. The genetic algorithm (Genetic Algorithm) is a computational model of the process of biological evolution simulation of natural selection and genetics of Darwin's theory of biological evolution mechanism, a method by simulating the natural evolution of the process of searching the optimal solution. The genetic algorithm has been widely used in data mining and gray theory gradually show its characteristics, the two theories together data mining and predictive effectively is a development direction. Non-canonical basic theory and knowledge processing core technology of the major projects of the subject of the paper comes from the National Natural Science Foundation of China, the pig pork price prediction. The biological growth there will be a certain cycle, farmers can be expected to have kept things (such as pigs) prices rose in the listing, you can make if you want to sell to their own interests to maximize. Many, such as related raw material prices, the government's macro-control, supplier of self-protection and other factors affecting price volatility, but the short-term price is regular and predictable. Know the expected price, you can specify the policy to provide effective help to the relevant personnel. Piggy prices affect the price of live pigs on the price of corn, soybean meal price, if the GM (1,1) prediction model, just a single forecast hog prices in the past by the line, do not reflect other factors hog prices affect, and often even if the predicted value of residuals processing also exists an unacceptable deviation of the actual price. Gray forecasting model GM (1, N) to find the main factors that affect the price through the gray relational grade data forecast. But the the albino background value is determined in accordance with the equalization principle, to the weakening of the factors affecting the price again. Genetic algorithm of GM (1, N) model using adaptive methods the search reasonable albino background value difference scheme for the improvement, promotion of GM (1, N), and the largest hog prices associated factors highlight prices forecast and the actual value is closer.

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CLC: > Economic > Trade and Economic > Domestic Trade and Economic > Commodity prices and distribution costs
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