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BP网络学习算法改进及用于手写体数字识别
引用本文:张保轩,张玮,周建鹏. BP网络学习算法改进及用于手写体数字识别[J]. 山东大学学报(工学版), 1996, 0(1)
作者姓名:张保轩  张玮  周建鹏
作者单位:山东工业大学电子工程系
摘    要:从误差函数入手对传统BP(Back-Propagation)学习算法进行改进,实验表明此改进算法不仅提高了网络训练效率,而且改善了网络推广性能.

关 键 词:神经网络,模式识别,数字识别,/BP算法

IMPROVING LEARNING ALGRITHM FOR BP NETWORK AND ITS APPLICATION IN HANDWRITTEN DIGITAL RECOGNITION
Zhang Baoxuan ,Zhang Wei, Zhou Jianpeng. IMPROVING LEARNING ALGRITHM FOR BP NETWORK AND ITS APPLICATION IN HANDWRITTEN DIGITAL RECOGNITION[J]. Journal of Shandong University of Technology, 1996, 0(1)
Authors:Zhang Baoxuan   Zhang Wei   Zhou Jianpeng
Abstract:Proposes a new error function to improve traditional BP algrithm. The results of experiments show this algrithm has improved not only the learning efficiency,but also network's generalization abilities.
Keywords:Neural networks  Pattern recognition  Digital recognition  /BP learning
本文献已被 CNKI 等数据库收录!
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