Regional flood frequency analysis at ungauged sites using the adaptive neuro-fuzzy inference system
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,  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).