Graffiti commands interpretation for eBooks using a self-structured neural network and genetic algorithm

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

Graffiti commands interpretation for eBooks using a self-structured neural network and genetic algorithm

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

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

1 Citation (Scopus)

Abstract

This paper presents the interpretation of graffiti commands for electronic books (eBooks). A neural network will be employed to perform the graffiti interpretation. By producing a switch to each link of the neural network, the structure of the neural network can be obtained and tuned automatically by the genetic algorithm (GA) with arithmetic grossover and non-uniform mutation. Simulation results on interpreting graffiti commands for eBooks using the proposed several network will be shown.

Original language	English
Title of host publication	Proceedings of the International Joint Conference on Neural Networks
Pages	2487-2492
Number of pages	6
Publication status	Published - 1 Jan 2002
Event	2002 International Joint Conference on Neural Networks (IJCNN'02) - Honolulu, HI, United States Duration: 12 May 2002 → 17 May 2002

Conference

Conference	2002 International Joint Conference on Neural Networks (IJCNN'02)
Country/Territory	United States
City	Honolulu, HI
Period	12/05/02 → 17/05/02

ASJC Scopus subject areas

Software
Artificial Intelligence

More information

http://hdl.handle.net/10397/1408

Cite this

@inproceedings{efbf41d754744afe9dc6aa9133c4fd52,

title = "Graffiti commands interpretation for eBooks using a self-structured neural network and genetic algorithm",

abstract = "This paper presents the interpretation of graffiti commands for electronic books (eBooks). A neural network will be employed to perform the graffiti interpretation. By producing a switch to each link of the neural network, the structure of the neural network can be obtained and tuned automatically by the genetic algorithm (GA) with arithmetic grossover and non-uniform mutation. Simulation results on interpreting graffiti commands for eBooks using the proposed several network will be shown.",

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

year = "2002",

month = jan,

day = "1",

language = "English",

pages = "2487--2492",

booktitle = "Proceedings of the International Joint Conference on Neural Networks",

note = "2002 International Joint Conference on Neural Networks (IJCNN'02) ; Conference date: 12-05-2002 Through 17-05-2002",

}

Leung, KF, Lam, HK, Leung, HFF & Tam, PKS 2002, Graffiti commands interpretation for eBooks using a self-structured neural network and genetic algorithm. in Proceedings of the International Joint Conference on Neural Networks. pp. 2487-2492, 2002 International Joint Conference on Neural Networks (IJCNN'02), Honolulu, HI, United States, 12/05/02. <http://hdl.handle.net/10397/1408>

Graffiti commands interpretation for eBooks using a self-structured neural network and genetic algorithm. / Leung, K. F.; Lam, H. K.; Leung, Hung Fat Frank et al.
Proceedings of the International Joint Conference on Neural Networks. 2002. p. 2487-2492.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

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AU - Leung, Hung Fat Frank

AU - Tam, P. K S

PY - 2002/1/1

Y1 - 2002/1/1

N2 - This paper presents the interpretation of graffiti commands for electronic books (eBooks). A neural network will be employed to perform the graffiti interpretation. By producing a switch to each link of the neural network, the structure of the neural network can be obtained and tuned automatically by the genetic algorithm (GA) with arithmetic grossover and non-uniform mutation. Simulation results on interpreting graffiti commands for eBooks using the proposed several network will be shown.

AB - This paper presents the interpretation of graffiti commands for electronic books (eBooks). A neural network will be employed to perform the graffiti interpretation. By producing a switch to each link of the neural network, the structure of the neural network can be obtained and tuned automatically by the genetic algorithm (GA) with arithmetic grossover and non-uniform mutation. Simulation results on interpreting graffiti commands for eBooks using the proposed several network will be shown.

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M3 - Conference article published in proceeding or book

SP - 2487

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BT - Proceedings of the International Joint Conference on Neural Networks

T2 - 2002 International Joint Conference on Neural Networks (IJCNN'02)

Y2 - 12 May 2002 through 17 May 2002

ER -

Graffiti commands interpretation for eBooks using a self-structured neural network and genetic algorithm

Abstract

Conference

ASJC Scopus subject areas

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