Earticle

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

키워드

저자

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

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605