Abstract:It is hard to train the influence variables and to forecast the complex problems due to the time series. Recently the neural network method has been successfully employed to solve the forecasting problem. In this paper, an approach that integrate modified BP neural network optimized with particle swarm optimization algorithm (MBPPSO) is proposed which applied to forecast postgraduate entrant and employment problem. It introduces particle swarm optimization algorithm to optimize the initial weights of the BP ne… Show more
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