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Character and image recognition and image retrieval using the Boltzmann machine
被引：0
作者：
Liu, Y
机构：
来源：
APPLICATIONS AND SCIENCE OF ARTIFICIAL NEURAL NETWORKS III
|
1997年
/
3077卷
关键词：
Boltzmann machine;
image recognition;
pattern recognition;
character recognition;
Hopfield Model;
Neural net;
learning;
image retrieval;
content-based;
artificial intelligence;
D O I：
10.1117/12.271533
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ;
0812 ;
0835 ;
1405 ;
摘要：
In this paper, we will discuss two applications of the Boltzmann machines. We will first briefly review the theory of the Boltzmann machine; then, we will report the results of using a software simulation of the Boltzmann machine. The software can learn 1,000 characters (19x19) in less than 10 seconds, and learn 4,000 characters (19x19) in less than one minute; it can also recognize one of the 4,000 characters (19x19) less than 0.5 seconds. We will also report our results of image retrieval.
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页码：706 / 715
页数：10
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