The neuro-fuzzy network of the model is synthesised and refined using an adaptive neuro-fuzzy inference system (ANFIS) (Jang 1993) editor based on an input-output pair sample (Fig.
What does NFIS stand for?
NFIS stands for Neuro-Fuzzy Inference System
This definition appears somewhat frequently and is found in the following Acronym Finder categories:
- Information technology (IT) and computers
- Science, medicine, engineering, etc.
See other definitions of NFIS
We have 4 other meanings of NFIS in our Acronym Attic
- NIST Fingerprint Image Quality (fingerprint matching system)
- National Federation of Indian Railway men
- Nonlinear Finite Impulse Response
- National Flood Insurance Reform Act of 1994
- Near Field Infra Red Experiment (launched April 2007)
- National Fire Incident Reporting System (USFA/NFIC)
- National Fire Information Reporting System (US DHS)
- National Flock Identification Scheme (est. 2002; sheep identification; Australia)
- National Food Industry Strategy (Australia)
- National Forest Information System (Canada)
- NIST (National Institute of Standards and Technology) Fingerprint Image Software
- North Forest Independent School District (Texas)
- National Federation Interscholastic Speech and Debate Association
- National Federation of Iron and Steel Manufacturers
- Needle-Free Injection Therapy
- Nonfunctioning Islet-Cell Tumor
- National Finance Industry Training Advisory Body (Australia)
- National Fishing Industry Training Council (Australia)
- National Federation of Indian Trade Unions
- National Football Intelligence Unit (UK)
Samples in periodicals archive:
There are the different types of fused neuro-fuzzy systems such as Adaptive Neuro-Fuzzy Inference System (ANFIS), Fuzzy Inference and Neural Network in Fuzzy Inference Software (FINEST), Evolving Fuzzy Neural Network (EFuNN), and Self-Constructing Neural Fuzzy Inference Network (SONFIN).
Two neuro-fuzzy methodologies, the Adaptive Neuro-Fuzzy Inference System (ANFIS) (Jang 1993; Jang et al.
Neuro-Fuzzy Inference Systems Approach One of the most important and promising research fields in recent years has been Nature-Inspired Heuristics, an area utilizing some analogies with natural or social systems for deriving non-deterministic heuristic methods to obtain better results in combinatorial optimization problems (Colorni et al.