An Introduction of Soft Computing Approach over Hard Computing

In this paper we describe how soft computing techniques use in the problem solving approach as we did it as early in a hard computing or traditional define rule base approach. Soft Computing techniques are fuzzy logic and genetic algorithms, Artif icial Neural Networks and Expert System. Soft computing techniques have mainly two important advantages. Firstly, to solve the non-linear problems and second is to introducing the human knowledge such as recognition, Learning, understanding and various others field of soft computing. These techniques are capable of dealing with inexact and imprecise problem domains and have been demonstrated to be useful in the solution of classification problems.