Fuzzy Cellular Automata based associative memory for pattern recognition

被引：0
|
作者：
Maji, P [1 ]
Chaudhuri, PP [1 ]
机构：
[1] Netaji Subhash Engn Coll, Dept Comp Sci & Engn & Informat Technol, Kolkata 700152, India
来源：
2005 INTERNATIONAL CONFERENCE ON INTELLIGENT SENSING AND INFORMATION PROCESSING, PROCEEDINGS | 2005年
关键词：
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：
This paper presents the application of Fuzzy Cellular Automata (FCA) based associative memory for pattern recognition/classification of real valued data. The complexity of the. proposed associative memory model to recognize a pattern is 0(n); where n is the number of attributes/features of the pattern. Implementation of the proposed model to solve pattern recognition/classification problem proves its versatility and establishes it as an efficient and cost-effective solution for this problem.
引用
收藏
页码：284 / 289
页数：6
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