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《Journal of Shaanxi University of Technology(Natural Science Edition)》 2016-06
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Prediction of the logistics demand of Poyang lake city circle based on genetic algorithm neural network

XIA Jian-min;LI Bing;KE Fen-fen;College of Software,Jiangxi Normal University;  
In view of the problems of inadequate prediction,poor generalizability and time-consumption arising from using neural network alone,the study puts forward an algorithm which can be optimized in order to avoid falling into local minimum,and introduce necessary parameters such as weights and thresholds of the genetic algorithm neural network for optimizing processing. The simulation results show that the neural network using genetic algorithms to optimize the predicted results can exhibit higher prediction accuracy and generalization ability.
【CateGory Index】: F259.2;TP183
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