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The automobile industry is a pillar industry in the national economy, so it's of important significance to predict accurately car sales. On the basis of building theoretical frame of web search data and car sales, this paper selects keywords with the technology of auto recommendation, composes the keywords into composite index which can be used in the regression model of this paper, analyzes the relationship...
Econometrics is based on economic data while the data represented by fuzzy sets can not be dealt with classical time series methods. In this paper the author proposes a new kind of variable named fuzzy variable of econometric model based on fuzzy membership function. The gap between fuzzy mathematics and econometrics is connected by the concept of fuzzy variable. An example of multivariate linear...
A new combined BP neural network model based on accelerating genetic algorithm is put forward in this paper. On the foundation of traditional BP neural network, this method is given better iteration values improved by accelerating genetic algorithm, thus and increase iteration rate and avoid sinking into local minimum. Then, it is applied to forecast the heat load in a certain area, and compared with...
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