Title :
Fuzzy cellular automata based associative memory for pattern recognition
Author :
Maji, Pradipta ; Chaudhuri, P. Pal
Author_Institution :
Dept. of Comput. Sci. & Eng. & Inf. Technol., Netaji Subhash Eng. Coll., Koikata, India
Abstract :
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 O(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.
Keywords :
cellular automata; computational complexity; fuzzy set theory; pattern classification; associative memory; associative memory model; fuzzy cellular automata; pattern classification; pattern recognition; real valued data; Application software; Associative memory; Automata; Computer science; Educational institutions; Information technology; Intelligent systems; Learning systems; Machine learning; Pattern recognition;
Conference_Titel :
Intelligent Sensing and Information Processing, 2005. Proceedings of 2005 International Conference on
Print_ISBN :
0-7803-8840-2
DOI :
10.1109/ICISIP.2005.1529463
