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http://dx.doi.org/10.6109/jkiice.2015.19.12.2968

Analysis of Nonlinear CA Using CLT  

Kwon, Min-jeong (Department of Applied Mathematics, Pukyong National University)
Cho, Sung-jin (Department of Applied Mathematics, Pukyong National University)
Kim, Han-doo (Institute of Basic Sciences and Department of Applied Mathematics, Inje University)
Choi, Un-sook (Department of Information and Communications Engineering, Tongmyong University)
Lee, Kue-jin (Department of Applied Mathematics, Pukyong National University)
Kong, Gil-tak (Department of Applied Mathematics, Pukyong National University)
Abstract
Method for finding the attractors is the important object to investigate in the linear/additive CA because it is a primary interest in applications like pattern recognition, pattern classification, design of associative memory and query processing etc. But the research has been so far mostly concentrated around linear/additive CA and it is not enough to modelize the complex real life problem. So nonlinear CA is demanded to devise effective models of the problem and solutions around CA model. In this paper we introduce CLT as an upgraded version of RMT and provide the process for finding the attractors and nonreachable states effectively through the CLT.
Keywords
CA; nonlinear CA; NBCA; CLT; attractor; nonreachable state;
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