earticle

논문검색

A Survey on Applications of Adaptive Neuro Fuzzy Inference System

초록

영어

In this paper we presented an architecture and basic learning process underlying in fuzzy inference system and adaptive neuro fuzzy inference system which is a hybrid network implemented in framework of adaptive network. In real world computing environment, soft computing techniques including neural network, fuzzy logic algorithms have been widely used to derive an actual decision using given input or output data attributes, ANFIS can construct mapping based on both human knowledge and hybrid learning algorithms. This study involves study of ANFIS strategy ANFIS strategy is employed to model nonlinear functions, to control one of the most important parameters of the induction machine and predict a chaotic time series, all yielding more effective, faster response or settling times.

목차

Abstract
 1. Introduction
 2. Literature Survey
 3. Clinical Decision Support System
  3.1. Neural Network
  3.2. Genetic Algorithm (GA)
 4. Adaptive Neuro Fuzzy Inference System
 5. Conclusion
 References

저자정보

  • Navneet Walia CT Institute of Technology and Research, Jalandhar
  • Sharad Kumar CT Institute of Technology and Research, Jalandhar
  • Harsukhpreet Singh Thapar University, Patiala

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.