• Keshav Dhir

Most of the modern availability of dataset consists of assumptions in machine learning and computational intelligence that result in handling online operations to some extent. Emerging as a framework to address the issues of high amount of data increment which makes it very difficult to process it efficiently using iterative algorithms requiring multiple passes. By properly addressing the issues using single-pass learning, self-adaption and evolving contraction model components on demand and on-fly. This survey focuses on real time environments consisting of all models relating to fuzzy and neuro-fuzzy evolving techniques by performing learning and model development incrementally.

Evolving system, adaptive system, fuzzy system

"A Survey on Evolving Neuro-Fuzzy Approaches", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.670-673, November 2018, Available :http://www.jetir.org/papers/JETIRDR06097.pdf

"A Survey on Evolving Neuro-Fuzzy Approaches", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp670-673, November 2018, Available at : http://www.jetir.org/papers/JETIRDR06097.pdf