On interpretation of graffiti digits and commands for eBooks: Neural fuzzy network and genetic algorithm approach

H. K. Lam; K. F. Leung; S. H. Ling; Hung Fat Frank Leung; P. K S Tam

On interpretation of graffiti digits and commands for eBooks: Neural fuzzy network and genetic algorithm approach

H. K. Lam, K. F. Leung, S. H. Ling, Hung Fat Frank Leung, P. K S Tam

Research output: Journal article publication › Conference article › Academic research › peer-review

Abstract

This paper presents a proposed neural fuzzy network tuned by genetic algorithm (GA). By introducing a switch to each rule, the optimal number of rules can be learned. The membership functions of the neural fuzzy network are also tuned by GA. After training, the proposed neural fuzzy network is employed to interpret graffiti number inputs and commands for Electronic Books (eBooks).

Original language	English
Pages (from-to)	443-448
Number of pages	6
Journal	IEEE International Conference on Fuzzy Systems
Volume	1
Publication status	Published - 31 Dec 2002
Event	2002 IEEE International Conference on Fuzzy Systems: FUZZ-IEEE'02 - Honolulu, HI, United States Duration: 12 May 2002 → 17 May 2002

ASJC Scopus subject areas

Theoretical Computer Science
Software
Artificial Intelligence
Applied Mathematics

More information

http://hdl.handle.net/10397/1427

Cite this

@article{b63cff97c2ae432184123e363cfaf6f2,

title = "On interpretation of graffiti digits and commands for eBooks: Neural fuzzy network and genetic algorithm approach",

abstract = "This paper presents a proposed neural fuzzy network tuned by genetic algorithm (GA). By introducing a switch to each rule, the optimal number of rules can be learned. The membership functions of the neural fuzzy network are also tuned by GA. After training, the proposed neural fuzzy network is employed to interpret graffiti number inputs and commands for Electronic Books (eBooks).",

author = "Lam, {H. K.} and Leung, {K. F.} and Ling, {S. H.} and Leung, {Hung Fat Frank} and Tam, {P. K S}",

year = "2002",

month = dec,

day = "31",

language = "English",

volume = "1",

pages = "443--448",

journal = "IEEE International Conference on Fuzzy Systems",

issn = "1098-7584",

publisher = "IEEE",

note = "2002 IEEE International Conference on Fuzzy Systems: FUZZ-IEEE'02 ; Conference date: 12-05-2002 Through 17-05-2002",

}

TY - JOUR

T1 - On interpretation of graffiti digits and commands for eBooks: Neural fuzzy network and genetic algorithm approach

AU - Lam, H. K.

AU - Leung, K. F.

AU - Ling, S. H.

AU - Leung, Hung Fat Frank

AU - Tam, P. K S

PY - 2002/12/31

Y1 - 2002/12/31

N2 - This paper presents a proposed neural fuzzy network tuned by genetic algorithm (GA). By introducing a switch to each rule, the optimal number of rules can be learned. The membership functions of the neural fuzzy network are also tuned by GA. After training, the proposed neural fuzzy network is employed to interpret graffiti number inputs and commands for Electronic Books (eBooks).

AB - This paper presents a proposed neural fuzzy network tuned by genetic algorithm (GA). By introducing a switch to each rule, the optimal number of rules can be learned. The membership functions of the neural fuzzy network are also tuned by GA. After training, the proposed neural fuzzy network is employed to interpret graffiti number inputs and commands for Electronic Books (eBooks).

UR - http://www.scopus.com/inward/record.url?scp=0036457943&partnerID=8YFLogxK

M3 - Conference article

SN - 1098-7584

VL - 1

SP - 443

EP - 448

JO - IEEE International Conference on Fuzzy Systems

JF - IEEE International Conference on Fuzzy Systems

T2 - 2002 IEEE International Conference on Fuzzy Systems: FUZZ-IEEE'02

Y2 - 12 May 2002 through 17 May 2002

ER -

On interpretation of graffiti digits and commands for eBooks: Neural fuzzy network and genetic algorithm approach

Abstract

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this