Fuzzy cellular automata based associative memory for pattern recognition

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.