Artificial neural networks: Enhanced Back Propagation in character recognition

被引：0
|
作者：
Abu-Taieh, EM [1 ]
机构：
[1] Arab Acad Banking & Financial Sci, Comp Informat Syst Dept, Amman, Jordan
来源：
INFORMATION TECHNOLOGY AND ORGANIZATIONS: TRENDS, ISSUES, CHALLENGES AND SOLUTIONS, VOLS 1 AND 2 | 2003年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The initial weights in Back Propagation has a strong influence in the learning speed and the quality of the solution obtained after convergence. The main objective of the research is to improve the performance of BP through three concepts: First, propagating the error back to the weights without squaring: second, limiting the initial randomly-generated weights to a certain range: and third, starting the matrix of weights with an ID matrix.
引用
收藏
页码：263 / 265
页数：3
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