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NFISNational Forest Information System (Canada)
NFISNIST (National Institute of Standards and Technology) Fingerprint Image Software
NFISNational Food Industry Strategy (Australia)
NFISNeuro-Fuzzy Inference System
NFISNational Flock Identification Scheme (est. 2002; sheep identification; Australia)
References in periodicals archive ?
Shang, "Adaptive neuro-fuzzy inference system for generation of diffuser dot patterns in light guides", Applied Optics, vol.
In this paper, we propose soft computing techniques to generate an adaptive neuro-fuzzy inference system (ANFIS), a rule set that can be trained to characterize a desired vehicle behavior.
Ho, "The optimization of chiller loading by adaptive neuro-fuzzy inference system and genetic algorithms," Mathematical Problems in Engineering, vol.
Binesh, "A comparison of neural networks and adaptive neuro-fuzzy inference systems for the prediction of water diffusion through carbon nanotubes," Microfluidics and Nanofluidics, vol.
Keywords: bad debt recovery, healthcare industry, adaptive neuro-fuzzy inference system (ANFIS), semi-supervised learning, classification
Aiming at optimizing such systems (Shiraz, Gani, Hafeez, & Buyya, 2012; Anuar, Sallehudin, Gani, & Zakari, 2008; Mansoori, Zakaria, & Gani, 2012; Enayatifar, Sadaei, Abdullah, & Gani, 2013) to ensure optimal investment in the wind farm, the adaptive neuro-fuzzy inference system (ANFIS) method is used (Mohandes, Rehman, & Rahman, 2012; Ata, Kocyigit, & Kocyigit, 2010; Jang, 1993; Shamshirband, Anuar, Kiah, & Patel, 2013).
k-ANFIS is the first neuro-fuzzy inference system that employs kEFCM to create fuzzy rules.
Accordingly, [17] studied an adaptive neuro-fuzzy inference system which models the impact of important parameters on heat transfer and flow properties in heat exchangers using numerical methods.
The general structure of adaptive neuro-fuzzy inference system.
Application of adaptive neuro-fuzzy inference system for grade estimation, Australian Journal of Basic and Applied Sciences 4(3): 408--420.
The most famous approach in this field is the Adaptive Neuro-Fuzzy Inference System (ANFIS), in which the membership function parameters and the rules are extracted from a data set opportunely surveyed (Jang 1993).
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