Results 201 to 210 of about 55,481 (267)

Estimating Evaporation Using ANFIS

Journal of Irrigation and Drainage Engineering, 2006
Water resources engineering assessment requires simple but effective evaporation estimation procedures, especially from readily measurable meteorological factors. Unfortunately, such approaches are rather scarce in the literature. In this paper, an adaptive neural-based fuzzy inference system (ANFIS) was applied to daily meteorology data from the Lake ...
KESKİN, Mustafa Erol, TAYLAN, Emine Dilek, Terzi, Özlem   +2 more
openaire   +2 more sources

Modeling of energy efficiency for a solar still fitted with thermoelectric modules by ANFIS and PSO-enhanced neural network: A nanofluid application

, 2021
An accurate model is developed for predicting the energy efficiency of a single-slope solar still equipped with thermoelectric modules. Adaptive Neuro-Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN) enhanced by Particle Swarm ...
M. Bahiraei, S. Nazari, H. Safarzadeh
semanticscholar   +1 more source

Comparison of extreme-ANFIS and ANFIS networks for regression problems

2014 IEEE International Advance Computing Conference (IACC), 2014
This paper compares the performance of conventional adaptive network based fuzzy inference system (ANFIS) network and extreme-ANFIS on regression problems. ANFIS networks incorporate the explicit knowledge of the fuzzy systems and learning capabilities of neural networks.
Pushpak Jagtap, G. N. Pillai
openaire   +1 more source

Automatic training of ANFIS networks

FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315), 1999
In the present paper an automatic training procedure for adaptive neuro-fuzzy inference system (ANFIS) networks is presented. The initialization of the net is carried out by the /spl beta/-min-max fuzzy clustering procedure, which is a modified version of the original min-max technique by Simpson (1993).
RIZZI, Antonello, FRATTALE MASCIOLI, Fabio Massimo, MARTINELLI, Giuseppe   +2 more
openaire   +2 more sources

Spatial prediction of landslide susceptibility using hybrid support vector regression (SVR) and the adaptive neuro-fuzzy inference system (ANFIS) with various metaheuristic algorithms.

Science of the Total Environment, 2020
Landslides are natural and sometimes quasi-natural hazards that are destructive to natural resources and cause loss of human life every year. Hence, preparing susceptibility maps for landslide monitoring is essential to minimizing their negative effects.
M. Panahi, Amiya Gayen, H. Pourghasemi, F. Rezaie, Saro Lee   +4 more
semanticscholar   +1 more source

An exploration of RSM, ANN, and ANFIS models for methylene blue dye adsorption using Oryza sativa straw biomass: a comparative approach

Scientific Reports
This study focused on simulating the adsorption-based separation of Methylene Blue (MB) dye utilising Oryza sativa straw biomass (OSSB). Three distinct modelling approaches were employed: artificial neural networks (ANN), adaptive neuro-fuzzy inference ...
Sheetal Kumari, S. Agarwal, Manish Kumar, Pinki Sharma, Ajay Kumar, Abeer Hashem, Nouf H. Alotaibi, E. F. Abd_Allah, Manoj Chandra Garg   +8 more
semanticscholar   +1 more source

Adaptive Network-Based Fuzzy Inference System (ANFIS) Applied to Inverters: A Survey

IEEE transactions on power electronics
In recent years, adaptive network-based fuzzy inference systems (ANFIS) applied in various engineering fields have demonstrated their ability to combine the learning capability of artificial neural networks and the representation of fuzzy inference ...
Oscar Sánchez Vargas, Susana Estefany de León Aldaco, J. Alquicira, Luis Gerardo Vela-Valdés, Adolfo Rafael López Núñez   +4 more
semanticscholar   +1 more source

Ischemia prediction using ANFIS

2010 IEEE International Conference on Systems, Man and Cybernetics, 2010
In this paper, a novel algorithm to make use of Adaptive Neuro Fuzzy Interference System(ANFIS) in order to predict Ischemia diseases in Electrocardiogram(ECG) signals is presented. Pre-processing for ECG signal has been performed in order to detect QRS complex. Then, baseline wandering and noise suppression is done.
A. Emam, H. Tonekabonipour, M. Teshnelab, M. Aliyari Shoorehdeli   +3 more
openaire   +1 more source

ANFIS-MOA models for the assessment of groundwater contamination vulnerability in a nitrate contaminated area.

Journal of Environmental Management, 2021
The enhanced assessment of groundwater contamination vulnerability is necessary for the management and conservation of groundwater resources because groundwater contamination has been much increased continuously in the world by anthropogenic origin.
H. Elzain, S. Chung, Kye‐Hun Park, Venkatramanan Senapathi, S. Sekar, C. Sabarathinam, Mohamed A. Hassan   +6 more
semanticscholar   +1 more source

Parametric Analysis of ANFIS, ANFIS-PSO, and ANFIS-GA Models for the Prediction of Aluminum Surface Roughness in End-Milling Operation

Volume 2B: Advanced Manufacturing, 2022
Abstract Milling is one of the old and common cutting processes that utilize rotating tools to take materials off the main component with a combination of tools and workpiece movements. The texture of a machined surface is a key factor in defining how an essential component interacts with its environment.
Serge Balonji, Imhade Princess Okokpujie, Lagouge Tartibu   +2 more
openaire   +1 more source