Introduction to the theory of neural computation
Introduction to the theory of neural computation
Cellular Automata Machine for Pattern Recognition
ACRI '01 Proceedings of the 5th International Conference on Cellular Automata for Research and Industry
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This paper establishes the non-linear Cellular Automata (CA) as a powerful pattern recognizer. The special class of CA, referred to as GMACA (Generalized Multiple Attractor Cellular Automata), is employed for the design. The desired CA model, evolved through an efficient implementation of genetic algorithm, are found to be at the edge of chaos.