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Grain consumption projections are necessary inputs for developments in infrastructure as a means to ensure national food security. In this paper, firstly, we use time series analysis to forecast the key parameters affecting grain consumption in China in 2030 and 2050, and then we employ panel data analysis to estimate the long-run demand functions for feed grain in China across a range of scenarios...
A major difficulty affecting the control of product quality in industrial polymerization reactors is the lack of suitable on-line polymer property measurements. In this article, a parameter updating law is deduced based on the predictive model of industrial polyethylene process resin quality. According to the off-line lab analytical data, an asymptotic tracking state observer design method is proposed...
The four main factors that influence the metal wear performance are determined. Wear Prediction model is developed based on partial least-squares regression method including the four parameters. The fuzzy and random characteristic of metal wear is analysed and the method of the prediction of fuzzy random reliability of metal wear is carried out according to the wear prediction model. The modal is...
Online reviews provide a valuable resource for potential customers to make purchase decisions. However, the sheer volume of available reviews as well as the large variations in the review quality present a big impediment to the effective use of the reviews, as the most helpful reviews may be buried in the large amount of low quality reviews. The goal of this paper is to develop models and algorithms...
Web hot topic prediction is now one of the most significant research focus in Web data mining, which can reflect the Internet users' psychosocial predilection, may greatly benefit us. Markov and neural network are such two typical traditional prediction model, however, the Markov method can neither capture nor express the statistical property of the real data while the computation of neural network...
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