[1]赵启林,卓家寿,柳景春.BP网络的BP-G-S学习算法[J].南京理工大学学报(自然科学版),1999,(04):308-311.
　ZhaoQilin ZhuoJiashou LiuJingchuen.The BP G S Learning Algorithms of BP Network[J].Journal of Nanjing University of Science and Technology,1999,(04):308-311.
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BP网络的BP-G-S学习算法()
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《南京理工大学学报》（自然科学版）[ISSN:1005-9830/CN:32-1397/N]

卷:
期数:
1999年04期
页码:
308-311
栏目:
出版日期:
1999-08-30

文章信息/Info

Title:
The BP G S Learning Algorithms of BP Network
作者:
赵启林; 卓家寿; 柳景春1
河海大学土木学院, 南京210098
 ¹ 工程兵工程学院人防工程系, 南京210007
Author(s):
ZhaoQilin ZhuoJiashou LiuJingchuen ①
School of Civil Engineering of Ho Hai University,Nanjing 210094
¹ Department of Civil Engineering of Nanjing Eng ineering Institute, Nanjing 210007
关键词:
神经网络;  迭代法;  快速;  算法
Keywords:
neural netw orks;  iterat ion methods;  rapid;  algorithms
分类号:
TP18
摘要:
为了解决ＢＰ网络在学习过程中存在收敛慢的缺点，文中将ＧａｕｓｓＳｅｉｄｅｌ 迭代法的基本思想与ＢＰ算法结合，将每一个最新修正的权值反映到下一个权值的修正中，提出了一种新的ＢＰＧＳ学习算法来加速ＢＰ网络的收敛。文章最后的计算机仿真说明ＢＰＧＳ总体上可以减少学习的时间，尤其当误差值逼近最小点时效果明显。
Abstract:
To solve the problem of the slowness of converg ence in the learning process of BP network, this paper integrates the idea of Gauss-Seidel algorithms into BP algorithms and makes use of the new ly corrected w eight w hile correct ing next weight . The imitat ion of computer proves that BP-G-S algorithm may decrease learning t ime in the w hole. The effect is obvious especially w hen the error value is near to the opt imal point .

参考文献/References:

1 赵振宇, 徐用懋.模糊理论和神经网络的基础与应用.北京: 清华大学出版社, 1996. 104~107
2 邓建中, 葛仁杰, 程正兴.计算方法. 西安: 西安交通大学出版社, 1985.201~ 204
3 邓志刚, 孙增圻1BP 网络的PID 型二阶快速学习算法. 自动化学报, 1995, 21( 4) : 19~ 25
4 Billing S A, Chen S, Koreberg M J. Identification of MIMO nonlinear using a forward regression orthogonal estimators. I nternational Journal of control, 1989, 49: 2157~ 2189
5 焦李成.神经网络计算.西安: 西安电子科技大学出版社, 1993.196~ 217

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备注/Memo

备注/Memo:
赵启林 男 27 岁 博士生
更新日期/Last Update: 2013-03-29