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动量化GA-BP算法的全局极小值搜索
引用本文:葛淑杰,史健婷,佟佳颖. 动量化GA-BP算法的全局极小值搜索[J]. 黑龙江科技学院学报, 2006, 16(6): 374-377
作者姓名:葛淑杰  史健婷  佟佳颖
作者单位:黑龙江科技学院,计算机与信息工程学院,哈尔滨,150027
摘    要:针对传统BP神经网络算法存在收敛速度慢、易于陷入局部极小的缺点,提出了动量化GA-BP算法,即对传统BP算法引入动量因子,以提高网络的收敛速度,并将其与BP神经网络算法结合起来,充分利用遗传算法的全局搜索性能进行"粗"搜索.当搜索到全局最优点的附近时,再采用BP算法进行局部搜索,这样避免陷入局部极小,从而得到了全局最优解.煤矿安全等级预测的实验表明:动量化GA-BP算法能快速、精确地收敛,最终得到问题的全局极小值,取得了满意的预测结果.

关 键 词:动量化  GA-BP算法  全局极小值
文章编号:1670-0118(2006)06-0374-04
收稿时间:2006-09-14
修稿时间:2006-09-14

Global extreme little value search of momentum GA-BP algorithm
GE Shujie,SHI Jianting,TONG Jiaying. Global extreme little value search of momentum GA-BP algorithm[J]. Journal of Heilongjiang Institute of Science and Technology, 2006, 16(6): 374-377
Authors:GE Shujie  SHI Jianting  TONG Jiaying
Affiliation:College of Computer and Information Engineering,Heilongjiang Institute of Science and Technology,Harbin 150027,China
Abstract:Directed at overcoming the disadvantage of slow convergence rate and local extreme little value of BP neural network, this paper proposes the momentum GA-BP algorithm which involves addition of momentum faetor to traditional BP nearal network in order to ilnprove convergence rate, the combination of genetic algorithm with BP neural network algorithm, and the use of widely capability of global searching of genetic algorithm to search generally. When getting closer to the optimized position, BP algorithm is adopted to local seareh to avoid local extreme little walue and obtain global optional solution. The method proposed in this paper is used to precise coal mine satety rank. The resuhs indicate that the algorithm offers fast and accurate convergence and leads to global extreme little solution, and yields satisfactory foreeast,
Keywords:momentum   GA-BP algorithm   global extreme little solution
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