Results 21 to 30 of about 15,321 (232)

Optimizing ANFIS for sediment transport in open channels using different evolutionary algorithms [PDF]

Journal of Applied Research in Water and Wastewater, 2017
Flow through open channels can contain solids. The deposition of solids occasionally occurs due to insufficient flow velocity to transfer the solid particles, causing many problems with transfer systems.
Sultan Noman Qasem, Isa Ebtehaj, Hossien Riahi Madavar   +2 more
doaj   +1 more source

ANFIS for risk estimation in risk-based access control model for smart homes [PDF]

, 2022
The risk-based access control model is one of the dynamic models that use the security risk as a criterion to decide the access decision for each access request.
Gary B. Wills, Atlam, Hany F., Wills, Gary B., Atlam, H.   +3 more
core   +1 more source

Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies [PDF]

, 2022
Epileptic seizures are one of the most crucial neurological disorders, and their early diagnosis will help the clinicians to provide accurate treatment for the patients.
Shoeibi, Afshin, Subasi, Abdulhamit, Gorriz, Juan M., Khodatars, Marjane, Alizadehsani, Roohallah, Zare, Assef, Moridian, Parisa, Acharya, U. Rajendra, Ghassemi, Navid, Khosravi, Abbas   +9 more
core   +1 more source

Predicting the geometry of stable alluvial channels: combination of data mining and meta-heuristic optimization [PDF]

Journal of Hydraulic Structures, 2023
One of the important topics in river engineering is the design of stable alluvial channel geometry in the regime mode (dynamic balance between erosion and sedimentation) including the width, depth and slope.
Fatemeh Lanjabi Sharahi, Seyed Morteza Seyedian, Mahmood Akbari, Ali Heshmatpour   +3 more
doaj   +1 more source

Modelling and Prediction of Reactive Power at Railway Stations Using Adaptive Neuro Fuzzy Inference Systems

Applied Sciences, 2022
Electricity has become an important concern in today’s society. This is due to the fact that the electric grid now has a greater number of non-linear components. The AC-powered locomotive is one of these non-linear components.
Manuela Panoiu, Caius Panoiu, Sergiu Mezinescu   +2 more
doaj   +1 more source

A novel hybrid framework based on the ANFIS, discrete wavelet transform, and optimization algorithm for the estimation of water quality parameters

Journal of Water and Climate Change, 2022
Improving the performance of machine learning (ML) algorithms is essential for accurately estimating water quality parameters (WQPs). For the first time, a novel hybrid framework, namely the adaptive neural fuzzy inference system–discrete wavelet ...
Mojtaba Kadkhodazadeh, Saeed Farzin
doaj   +1 more source

Comparative performance of intelligent algorithms for system identification and control [PDF]

, 2008
This paper presents an investigation into the comparative performance of intelligent system identification and control algorithms within the framework of an active vibration control (AVC) system.
Madkour, Ammr, Hossain, Alamgir, Yu, Hongniang, K.P. Dahal, Dahal, Keshav, H. Yu, Dahal, K.P., Yu, H., A.A.M. Madkour, Madkour, A.A.M., M.A. Hossain, Hossain, M.A.   +11 more
core   +1 more source

Improvements in the Explicit Estimation of Pollutant Dispersion Coefficient in Rivers by Subset Selection of Maximum Dissimilarity Hybridized With ANFIS-Firefly Algorithm (FFA)

IEEE Access, 2020
In this paper, a new hybrid model is proposed using Subset Selection by Maximum Dissimilarity (SSMD) and adaptive neuro-fuzzy inference system (ANFIS) hybridized with the firefly algorithm (FFA) to predict the longitudinal dispersion coefficient (Kx ...
Hossien Riahi-Madvar, Majid Dehghani, Kulwinder Singh Parmar, Narjes Nabipour, Shahaboddin Shamshirband   +4 more
doaj   +1 more source

Comparative Prediction of Groundwater Fluctuation by CWTFT-ANFIS and WT-ANFIS

Indian Journal of Science and Technology, 2016
Objective: To evaluate the ability of prediction performance of ANFIS (Adaptive Neuro Fuzzy Inference System) model on groundwater level fluctuation in Lower Bhavani River Basin (LBRB). Method: To improve the accuracy of prediction of ANFIS model, WT (Wavelet Transform) and CWTFT (Continuous Wavelet Fast Fourier Transform) are performed as ...
N. Vetrivel, K. Elangovan
openaire   +1 more source

Performance analysis of swarm intelligence algorithms in removal of ECG artefact from tainted EEG signal

Automatika, 2018
Electroencephalogram (EEG) is the recording of electrical activities of the brain. It is contaminated by other biological signals, known as artefacts.
S. Suja Priyadharsini, S. Edward Rajan
doaj   +1 more source