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基于MPGA优化BP网络的新方法及仿真实验
A New Method of BP Network Optimized Based on MPGA Algorithm and Simulation Test
【摘要】 BP网络是人工神经网络中应用最广的网络模型,为了改善BP算法易陷入局部极小点的缺点,提出一种基于MPGA(多种群遗传算法)的改进BP网络。数值仿真结果表明:经多种群遗传算法优化的BP网络和遗传算法优化BP网络以及传统BP网络相比较,在预测精度方面有了改善。
【Abstract】 BP network is the most widely used network model in artificial neural network., In order to improve the disadvantage of BP algorithm, a new improved BP network based on MPGA(multi group genetic algorithm) is proposed, The numerical simulation results show that the optimized BP network based on multi population genetic algorithms have improved the prediction accuracy of BP network.
【关键词】 BP算法;
多种群遗传算法;
优化;
【Key words】 BP algorithm; Multi population genetic algorithm; Optimization;
【Key words】 BP algorithm; Multi population genetic algorithm; Optimization;
- 【文献出处】 信息通信 ,Information & Communications , 编辑部邮箱 ,2015年09期
- 【分类号】TP183
- 【被引频次】1
- 【下载频次】37