Identifying the most significant input parameters for predicting global solar radiation using an ANFIS selection procedure

K Mohammadi, S Shamshirband, A Kamsin… - … and Sustainable Energy …, 2016 - Elsevier
There are several variables that influence the global solar radiation (GSR) prediction; thus,
determining the most significant parameters is an important task to achieve accurate …

Selection of climatic parameters affecting wave height prediction using an enhanced Takagi-Sugeno-based fuzzy methodology

R Hashim, C Roy, S Motamedi, S Shamshirband… - … and Sustainable Energy …, 2016 - Elsevier
This study dealt with finding the sequence of the most influential parameters among the
factors that affect the offshore wave height. A dataset comprising of four climatic input …

Adaptive neuro fuzzy controller for adaptive compliant robotic gripper

D Petković, M Issa, ND Pavlović, L Zentner… - Expert Systems with …, 2012 - Elsevier
The requirement for new flexible adaptive grippers is the ability to detect and recognize
objects in their environments. It is known that robotic manipulators are highly nonlinear …

Hybrid machine learning and deep learning models for multi-step-ahead daily reference evapotranspiration forecasting in different climate regions across the …

M Valipour, H Khoshkam, SM Bateni, C Jun… - Agricultural Water …, 2023 - Elsevier
The daily reference evapotranspiration (ET o) must be accurately forecasted to improve real-
time irrigation scheduling and decision-making for water resources allocation. In this study …

Selection of the most influential parameters on vectorial crystal growth of highly oriented vertically aligned carbon nanotubes by adaptive neuro-fuzzy technique

M Safa, M Ahmadi, J Mehrmashadi… - International …, 2020 - inderscienceonline.com
The optimum raising conditions to synthesis the high crystallinity carbon nanotubes (CNTs)
for improvement of their physical properties are presented in this study, thus, ANFIS has …

Evaluation of the parameters affecting the Schmidt rebound hammer reading using ANFIS method

A Toghroli, E Darvishmoghaddam, Y Zandi… - … and Concrete, An …, 2018 - dbpia.co.kr
As a nondestructive testing method, the Schmidt rebound hammer is widely used for
structural health monitoring. During application, a Schmidt hammer hits the surface of a …

Retracted article: adapting project management method and ANFIS strategy for variables selection and analyzing wind turbine wake effect

D Petković, SH Ab Hamid, Ž Ćojbašić, NT Pavlović - Natural hazards, 2014 - Springer
We present a project management methodology designed for the selection of wind turbines
wake effect most influential parameters, who need to run wind farm project for large energy …

DyHAP: dynamic hybrid ANFIS-PSO approach for predicting mobile malware

F Afifi, NB Anuar, S Shamshirband, KKR Choo - PloS one, 2016 - journals.plos.org
To deal with the large number of malicious mobile applications (eg mobile malware), a
number of malware detection systems have been proposed in the literature. In this paper, we …

Adaptive neuro fuzzy estimation of underactuated robotic gripper contact forces

D Petković, ND Pavlović, Ž Ćojbašić… - Expert systems with …, 2013 - Elsevier
It is known that robotic manipulators are highly nonlinear systems, and an accurate
mathematical model is difficult to obtain, thus making it difficult tо analyze with conventional …

[PDF][PDF] Intelligent control of DC-DC converter based on PID-neural network

HK Khleaf, AK Nahar, AS Jabbar - International Journal of Power …, 2019 - academia.edu
This paper introduced a “PID-NN” based on Particle Swarm Optimization control that was
applied to a boost converter operating in large-signal domains. Simulation results have …