Optimization of MLP/BP for character recognition using a modified alopex algorithm

被引：0
|
作者：
Shintani, Hirohito [1 ]
Akutagawa, Masatake [1 ]
Nagashino, Hirofumi [2 ]
Pandya, Abhijit [3 ]
Kinouchi, Yohsuke [1 ]
机构：
[1] Univ Tokushima, Fac Engn, 2-1mNubanu Hisabhuna, Tokushima 7708506, Japan
[2] Univ Tokushima, Sch Hlth Sci, 3-18-15,Kuramoto, Tokushima 7708509, Japan
[3] Florida Atlant Univ, Dept Comp Sci & Engn, Boca Raton, FL 33431 USA
来源：
INTERNATIONAL JOURNAL OF KNOWLEDGE-BASED AND INTELLIGENT ENGINEERING SYSTEMS | 2007年 / 11卷 / 06期
关键词：
Neural network; Alopex algorithm; character recognition; intelligent systems;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
It is difficult to determine the recognition mechanism in the neurons of a neural network trained for pattern recognition due to the non-linear nature of neural networks. This paper describes a recognition mechanism of a four-layer back propagation neural network using Alopex algorithm. We have developed a small-scale, four-layered neural network model for simple character recognition, which can recognize the patterns transformed by affined conversion. Alopex algorithm is an iterative and stochastic processing method, which was proposed for optimization of a given cost function. In this case the receptive fields of the neurons in the output layers are obtained using the Alopex algorithm.
引用
收藏
页码：371 / 379
页数：9
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