Results 21 to 30 of about 6,025 (187)

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

open access: yesJournal 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   +3 more
doaj   +1 more source

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

open access: yesApplied 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   +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

open access: yesJournal 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

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

open access: yesIEEE 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   +4 more
doaj   +1 more source

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

open access: yesIndian 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

open access: yesAutomatika, 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

PSO-ANFIS-Based Energy Management in Hybrid AC/DC Microgrid along with Plugin Electric Vehicle

open access: yesInternational Journal of Photoenergy, 2023
This study proposes a hybrid AC/DC microgrid with plugin EVs, leveraging PSO-tuned ANFIS for voltage and power control. With the existing control, which faced challenges such as instability and complexity, the proposed approach is aimed at simplifying ...
V. Ashokkumar, C. B. Venkatramanan
doaj   +1 more source

Estimation of pile settlement socketed to rock applying hybrid ALO-ANFIS and GOA-ANFIS approaches

open access: yesJournal of Applied Science and Engineering, 2022
Pile settlement (SP) socketed to rock has received substantial attention. Despite introducing some design methods of SP prediction, considering the novel and practical predicting model with satisfactory performance is pivotal.
Dai Yu
doaj   +1 more source

An ANFIS approach to transmembrane protein prediction [PDF]

open access: yes2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2014
This paper is concerned with transmembrane prediction analysis. Most of novel drug design requires the use of Membrane proteins. Transmembrane protein structure allows pharmaceutical industry to design new drugs based on structural layout. However, laboratory experimental structure determination by X-ray crystallography is difficult to be achieved as ...
Hassan B. Kazemian, Syed Adnan Yusuf
openaire   +3 more sources

Comparing the efficiency of different computation intelligence techniques in predicting accident frequency

open access: yesIATSS Research, 2020
Until now, considerable efforts have been made to determine which modelling technique performs the best for predicting accident frequency based on crash data.
Amir Mohammadian Amiri   +2 more
doaj   +1 more source

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