DocumentCode
535433
Title
Study on RMB number recognition based on genetic algorithm artificial neural network
Author
Zhao, Ting-ting ; Zhao, Ji-yin ; Zheng, Rui-rui ; Zhang, Lu-lu
Author_Institution
Coll. of Sci., Zhejiang Univ., Hangzhou, China
Volume
4
fYear
2010
fDate
16-18 Oct. 2010
Firstpage
1951
Lastpage
1955
Abstract
BP artificial neural network based on genetic algorithm training method was proposed in this paper to solving Renminbi (RMB) number recognition and artificial neural network BP algorithm problems in order to satisfy the technical requirements of financial sector sorter. The BP artificial neural network based on genetic algorithm training method combined the global search ability of genetic algorithm and local search ability of BP algorithm. Genetic operators such as selection, crossover and mutation were studied and chosen according to the object. Experiments show that RMB number recognition based on genetic algorithm and BP artificial neural network improves recognition accuracy and speed, and provide a new means of RMB number recognition.
Keywords
backpropagation; financial data processing; genetic algorithms; image recognition; neural nets; BP artificial training method; RMB number recognition; Renminbi; artificial neural network; financial sector sorter; genetic algorithm; local search ability; Accuracy; Artificial neural networks; Convergence; Equations; Image recognition; Pattern recognition; Training; BP algorithm; RMB number recognition; artificial neural network; genetic algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location
Yantai
Print_ISBN
978-1-4244-6513-2
Type
conf
DOI
10.1109/CISP.2010.5648046
Filename
5648046
Link To Document