Title
On Interpretation Of Graffiti Digits And Characters For Ebooks: Neural-Fuzzy Network And Genetic Algorithm Approach
Abstract
This paper presents the rule optimization, tuning of the membership functions, and optimization of the number of fuzzy rules, of a neural-fuzzy network (NFN) using a genetic algorithm (GA). The objectives are achieved, by training a proposed NFN with rule switches. The proposed NFN and GA are employed to interpret graffiti number inputs and commands for electronic books (eBooks).
Year
DOI
Venue
2004
10.1109/TIE.2004.825285
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
Keywords
Field
DocType
electronic books (eBooks), genetic algorithm (GA), neural-fuzzy networks (NFNs)
Graffiti,Fuzzy classification,Computer science,Fuzzy logic,Artificial intelligence,Fuzzy neural nets,Genetic algorithm,Machine learning,Electronic publishing
Journal
Volume
Issue
ISSN
51
2
0278-0046
Citations 
PageRank 
References 
13
0.68
10
Authors
4
Name
Order
Citations
PageRank
K. F. Leung1311.84
F. H. F. Leung261633.93
H. K. Lam33618193.15
S. H. Ling460940.29