Results 21 to 30 of about 18,271 (163)

Thermal error modelling of machine tools based on ANFIS with fuzzy c-means clustering using a thermal imaging camera [PDF]

open access: yes, 2015
Thermal errors are often quoted as being the largest contributor to CNC machine tool errors, but they can be effectively reduced using error compensation.
Longstaff, Andrew P.   +4 more
core   +1 more source

Application of the hybrid ANFIS models for long term wind power density prediction with extrapolation capability.

open access: yesPLoS ONE, 2018
In this paper, the suitability and performance of ANFIS (adaptive neuro-fuzzy inference system), ANFIS-PSO (particle swarm optimization), ANFIS-GA (genetic algorithm) and ANFIS-DE (differential evolution) has been investigated for the prediction of ...
Monowar Hossain   +7 more
doaj   +1 more source

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

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

Gearbox fault detection using static data and adaptive neurofuzzy inference system [PDF]

open access: yes, 2013
Condition monitoring of a gearbox is a crucial activity due to its importance in power transmission for many industrial applications. Thus, there has always been a constant pressure to improve measuring techniques and analytical tools for early ...
Gu, Fengshou   +3 more
core   +3 more sources

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

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