DocumentCode
2067478
Title
Multilayer neural networks in handwritten recognition
Author
Ciota, Zygmunt ; Gawinowski, Marcin
Author_Institution
Dept. of Microelectron. & Comput. Sci., Tech. Univ. Lodz, Poland
fYear
2004
fDate
28-28 Feb. 2004
Firstpage
192
Lastpage
194
Abstract
Multilayer neural network presented in This work and it can be helpful for recognition of handwritten words. Learning efficiency of such network also has been 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.
Keywords
backpropagation; feedforward neural nets; fuzzy logic; handwriting recognition; hardware-software codesign; learning (artificial intelligence); multilayer perceptrons; optical character recognition; backpropagation method; feedforward neural network; fuzzy logic; handwritten recognition; learning; mixed hardware software codesign; multilayer neural networks; Artificial neural networks; Backpropagation algorithms; Character recognition; Handwriting recognition; Image recognition; Intelligent networks; Multi-layer neural network; Neural networks; Neurons; Pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Modern Problems of Radio Engineering, Telecommunications and Computer Science, 2004. Proceedings of the International Conference
Conference_Location
Lviv-Slavsko, Ukraine
Print_ISBN
966-553-380-0
Type
conf
Filename
1365917
Link To Document