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 …
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 …
factors that affect the offshore wave height. A dataset comprising of four climatic input …
Adaptive neuro fuzzy controller for adaptive compliant robotic gripper
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 …
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 …
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 …
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 …
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 …
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
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 …
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
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 …
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
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 …
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
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 …
applied to a boost converter operating in large-signal domains. Simulation results have …