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

被引：0
|
作者：
Leung, KF [1 ]
Lam, HK [1 ]
Leung, FHF [1 ]
Tam, PKS [1 ]
机构：
[1] Hong Kong Polytech Univ, Ctr Multimedia Signal Proc, Dept Elect & Informat Engn, Kowloon, Hong Kong, Peoples R China
来源：
PROCEEDING OF THE 2002 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-3 | 2002年
关键词：
D O I：
10.1109/IJCNN.2002.1007533
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents the interpretation of graffiti commands for electronic books (eBooks). A neural network will be employed to perform the graffiti interpretation. By introducing 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 crossover and non-uniform mutation. Simulation results on interpreting graffiti commands for eBooks using the proposed neural network will be shown.
引用
收藏
页码：2487 / 2492
页数：6
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