[1]王辉.基于结构简化的BP网络的多类形状识别[J].计算机技术与发展,2006,(07):13-14.
　WANG Hui.An Algorithm Research on BP Based on Structure Simplification[J].,2006,(07):13-14.
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基于结构简化的BP网络的多类形状识别()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2006年07期
页码:
13-14
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
An Algorithm Research on BP Based on Structure Simplification
文章编号:
1673-629X（2006）07-0013-02
作者:
王辉
合肥工业大学计算机与信息学院
Author(s):
WANG Hui
School of Computer Science and Information Engineering, Hefei University of Technology
关键词:
神经网络; BP算法; 结构简化
Keywords:
neural network;  BP algorithm;  structure simplification
分类号:
TP301.6
文献标志码:
A
摘要:
BP算法是目前应用极为广泛的神经网络算法，但它也存在一些不足。文中提出了一种使BP网络结构简化的改进的BP算法，它使得网络的速度得到了提高，减少了迭代次数。最后将传统的BP算法和改进的BP算法进行了比较，仿真结果表明改进的算法在学习次数和收敛速度上比传统的算法有很大的改善
Abstract:
BP is a neural network algorithm which is applied very widely, but it has some defects. So brings forward a method which can improve BP algorithm through simplifying BP＇ s structure on this paper. The method improves the training speed of the BP neural net. The method reduces the iterative times onBP neural net. In the end, compares the traditional algorithm with the improved algorithm on this paper. The results through simulation experinaent indicate that the improved algorithm has a large improvement on training times and convergence speed than the traditional algorithm

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备注/Memo

备注/Memo:
国家自然科学基金资助项目（60375011）;安徽省优秀青年科技疆金资助项目（04042044）;新世纪优秀人才支持计划项目王辉（1980-），男，安徽宁国人，硕士研究生，主要从事模式识别与人工智能研究
更新日期/Last Update: 1900-01-01