Designing Cellular Automata-Based Pattern Classifier for Imbalance Dataset

Abstract

This paper will contribute mainly to two aspects: (i) A synthesis scheme of cellular automata having only point attractor, for specified pseudo-exhaustive bit (PE-bit), under periodic boundary condition, and (ii) a designing classification scheme for imbalance dataset. In his paper, another parallel objective will be carried out. That is, study whether the boundary conditions affect the performance of the classifier? To design classifier researchers are already shown that cellular automata having only point attractor are efficiently used to design a classifier. In this paper, cellular automata having only point attractor for specified pseudo-exhaustive bit will be used to design classifiers and both the null and periodic boundary conditions will be considered.