Results 41 to 50 of about 55,481 (267)

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

Watershed rainfall forecasting using neuro-fuzzy networks with the assimilation of multi-sensor information [PDF]

open access: yes, 2014
The complex temporal heterogeneity of rainfall coupled with mountainous physiographic context makes a great challenge in the development of accurate short-term rainfall forecasts. This study aims to explore the effectiveness of multiple rainfall sources (
Chang, FJ   +5 more
core   +2 more sources

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

Prediction in Photovoltaic Power by Neural Networks [PDF]

open access: yes, 2017
The ability to forecast the power produced by renewable energy plants in the short and middle term is a key issue to allow a high-level penetration of the distributed generation into the grid infrastructure. Forecasting energy production is mandatory for
Altilio, Rosa   +3 more
core   +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

An adaptive neuro-fuzzy propagation model for LoRaWAN [PDF]

open access: yes, 2019
This article proposes an adaptive-network-based fuzzy inference system (ANFIS) model for accurate estimation of signal propagation using LoRaWAN. By using ANFIS, the basic knowledge of propagation is embedded into the proposed model.
Curtis, Krystyna   +3 more
core   +1 more source

Development of Neurofuzzy Architectures for Electricity Price Forecasting [PDF]

open access: yes, 2020
In 20th century, many countries have liberalized their electricity market. This power markets liberalization has directed generation companies as well as wholesale buyers to undertake a greater intense risk exposure compared to the old centralized ...
Alshejari, A   +5 more
core   +1 more source

Accelerated mine blast algorithm for ANFIS training for solving classification problems [PDF]

open access: yes, 2016
Mine Blast Algorithm (MBA) is newly developed metaheuristic technique. It has outperformed Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and their variants when solving various engineering optimization problems. MBA has been improved by IMBA,
Hussain, Kashif, Mohd Salleh, Mohd Najib
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)

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

Home - About - Disclaimer - Privacy