现代电子技术Issue(5)：96-100,5.DOI:10.16652/j.issn.1004-373x.2016.05.023
基于遗传神经网络成绩预测的研究与实现
Research and implementation of result prediction based on genetic neural network
摘要
Abstract
Since the BP neural network has inherent limitations and some problems existing in result prediction,the genetic algorithm is used to optimize the weighting and threshold of BP neural network,and its coding scheme,fitness function and ge⁃netic operator are designed detailed. The genetic neural network model has fast convergence speed of learning and training. The adaptive crossover operator and mutation operator of the genetic algorithm were designed to improve the optimization effect. The validity and feasibility of the optimization are showed by the comparison of basic BP neural network and adaptive BP neural net⁃work. The genetic neural network model was realized with Matlab,and its training was completed. The model call and result pre⁃diction system were implemented by means of Java language. The analysis results indicate that the genetic neural network model has high accuracy in the aspect of result prediction,and certain practical value.关键词
成绩预测/BP神经网络/遗传算法/Matlab/JavaKey words
result prediction/BP neural network/genetic algorithm/Matlab/Java分类
信息技术与安全科学引用本文复制引用
陈勇..基于遗传神经网络成绩预测的研究与实现[J].现代电子技术,2016,(5):96-100,5.
