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Attracting more students into science and engineering disciplines concerned many researchers for decades. Literature used traditional statistical methods and qualitative techniques to identify factors that affect student retention up most and predict their persistence. In this paper we developed two neural network models using a feed-forward backpropagation network to predict retention for students...
In this paper, we apply data mining technology to Chinese stock market in order to research the trend of price, it aims to predict the future trend of the stock market and the fluctuation of price. This paper points out the shortage that exists in current traditional statistical analysis in the stock, then makes use of BP neural network algorithm to predict the stock market by establishing a three-tier...
Variable selection is a very vital step of models making and prediction researching. In order to solve the problem of variable selection in complicated system, statistical and neural network theory are combined to propose a method of scatter determine quotiety based on Sigmoid-Linear BP neural network in this paper. The efficiency of this method is also proved by simulation studies.
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