Adaptive neuro-fuzzy inference system
for classification of EEG signals using wavelet coefficients.
[8.] Yildiz, A., Akin, M., Poyraz, M., and Kirbas, G., "Application of Adaptive Neuro-fuzzy Inference System
for Vigilance Level Estimation by Using Wavelet-Entropy Feature Extraction," Expert Systems with Applications 36:7390-7399, 2009, doi:10.1016/j.eswa.2008.09.003.
Adaptive Neuro-Fuzzy Inference System
For Subjectivity Detection
Khademi, "A comprehensive study on the concrete compressive strength estimation using artificial neural network and adaptive neuro-fuzzy inference system
," Iran University of Science and Technology, vol.
In this paper, we propose a solution to the problem of gait phase detection for diagnosis or use in the control system of the lower limb exoskeleton in form of adaptive neuro-fuzzy inference systems
. The proposed adaptive system is based on an artificial neural network, in which neurons are defined and linked together in such a way as to simulate a fuzzy reasoning system .
Han, "Evaporation estimation using artificial neural networks and adaptive neuro-fuzzy inference system
techniques," Advances in Water Resources, vol.
Artificial intelligent systems such as artificial neural networks (ANN), fuzzy inference system (FIS), and adaptive neuro-fuzzy inference system
(ANFIS) have been applied to model a wide range of challenging problems in science and engineering.
An adaptive neuro-fuzzy inference system
(Anfis) based Prediction of Solar Radiation: A Case study.
In this approach, an adaptive neuro-fuzzy inference system
(ANFIS) is generated using previously collected data to train and optimize the performance of the fuzzy logic VSC algorithm.
General overview of adaptive neuro-fuzzy inference system
Using a real data set from a healthcare organization, we address this important research gap by examining the performance of an adaptive neuro-fuzzy inference system
(ANFIS) with semi-supervised learning (SSL) in improving debt recovery rate.
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).