Multilayer neural networks in handwritten recognition

被引：0
|
作者：
Ciota, Z [1 ]
Gawinowski, M [1 ]
机构：
[1] Tech Univ Lodz, Dept Microelect & Comp Sci, PL-90924 Lodz, Poland
来源：
MODERN PROBLEMS OF RADIO ENGINEERING, TELECOMMUNICATIONS AND COMPUTER SCIENCE, PROCEEDINGS | 2004年
关键词：
neural networks; handwritten recognition; optical character recognition; backpropagation algorithm;
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：
Multilayer neural network presented in this paper can be helpful for recognition of handwritten words. Learning efficiency of such network has been also presented. For high learning efficiency a standard backpropagation method has been extended, by adding a momentum term. Additional analysis shows how to improve proposed solutions using mixed hardware-software co-design and fuzzy logic approach.
引用
收藏
页码：192 / 194
页数：3
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