Cellular Automata Machine for Pattern Recognition

Authors:
Pradipta Maji;Niloy Ganguly;Sourav Saha;Anup K. Roy;P. Pal Chaudhuri
Affiliations:
-;-;-;-;-
Venue:
ACRI '01 Proceedings of the 5th International Conference on Cellular Automata for Research and Industry
Year:
2002

Citing 4
Cited 1

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AFSS '02 Proceedings of the 2002 AFSS International Conference on Fuzzy Systems. Calcutta: Advances in Soft Computing

RBFFCA: A Hybrid Pattern Classifier Using Radial Basis Function and Fuzzy Cellular Automata

Fundamenta Informaticae - Special issue on DLT'04

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Abstract

This paper reports a Cellular Automata Machine (CAM) as a general purpose pattern recognizer. The CAM is designed around a general class of CA known as Generalized Multiple Attractor Cellular Automata (GMACA). Experimental results confirm that the sparse network of CAM is more powerful than conventional dense network of Hopfield Net for memorizing unbiased patterns.