• Dr.R.Srinivasan
• Dr.B.Indrani
• Mr.M.Sathish Kumar

Soft computing offers a group of computational methodologies motivated by intrinsic vagueness, awareness, perception and intelligence of human beings and real life ambiguity. On other hand conventional computing techniques depends on exact solutions. Always soft computing seeks at exploiting given tolerance of imprecision and uncertain nature of the problem to give way an approximate solution to a problem in quick time. Soft Computing being a multi-disciplinary field employs various statistical, probabilistic and optimization tools. Some of the familiar computational methodologies are Neural Networks, Learning, Fuzzy Systems, Machine learning, Evolutionary Computation and Probabilistic Reasoning. In the midst of the various Soft Computing methods Neural Networks, Genetic Algorithms and Fuzzy Logic plays the major role in real life applications. Genetic Algorithms (GA) signify a stochastic search and optimization based computational tool which utilizes evolutionary theories of natural genetics. Artificial Neural Networks (ANN) stimulated by learning ability of the human brain which are capable to subtle relationships between neurons whose interactions are unknown, non-linear and too complex to represent. Fuzzy Logic (FL) assists in resolving real life problems with ambiguity and uncertainty. Consequently soft computing techniques yields the robust and low cost solutions.

Soft computing, Fuzzy logic, Neural network, Genetic Algorithm

"Robust Techniques based soft computing model for real time prediction models", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.217-223, April-2019, Available :http://www.jetir.org/papers/JETIR1904T32.pdf

"Robust Techniques based soft computing model for real time prediction models", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp217-223, April-2019, Available at : http://www.jetir.org/papers/JETIR1904T32.pdf