Results 21 to 30 of about 54,763 (263)
IEEE Access, 2020 An enhanced hybrid artificial intelligence model was developed for soil temperature (ST) prediction. Among several soil characteristics, soil temperature is one of the essential elements impacting the biological, physical and chemical processes of the ...
Liu Penghui +8 more
doaj +1 more source
Development of Neurofuzzy Architectures for Electricity Price Forecasting [PDF]
, 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
IEEE Access, 2021 Wind speed fluctuations and load demand variations represent the big challenges against wind energy conversion systems (WECS). Besides, the inefficient measuring devices and the environmental impacts (e.g. temperature, humidity, and noise signals) affect
M. Elsisi +4 more
semanticscholar +1 more source
PD Pattern Recognition Using ANFIS [PDF]
2008 Annual Report Conference on Electrical Insulation and Dielectric Phenomena, 2008 An application of an adaptive neuro-fuzzy inference system (ANFIS) has been investigated for partial discharge (PD) pattern recognition. The proposed classifier was used to discriminate between PD patterns occurring in internal voids. Three different void shapes were considered in this work, namely flat, square and narrow.
Nikola Chalashkanov +3 more
openaire +2 more sources
Evaluation of ANFIS and ANFIS-PSO Models for Estimating Hydraulic Jump Characteristics
علوم آب و خاک, 2022 In this study accuracy of the ANFIS and ANFIS-PSO models to estimate hydraulic jump characteristics including sequence depth ratio, the jump length, the roller length ratio, and relative energy loss was evaluated in stilling basin versus laboratory results.
N. Pourabdollah +3 more
openaire +3 more sources
Predicting Australia’s Domestic Airline Passenger Demand using an Anfis Approach
Transport and Telecommunication, 2022 The forecasting of future airline passenger demand is critical task for airline management. The objective of the present study was to develop an adaptive neuro-fuzzy inference system (ANFIS) for predicting Australia’s domestic airline passenger demand ...
Srisaeng Panarat, Baxter Glenn
doaj +1 more source
A novel approach for ANFIS modelling based on Grey system theory for thermal error compensation [PDF]
, 2014 The fast and accurate modelling of thermal errors in machining is an important aspect for the implementation of thermal error compensation. This paper presents a novel modelling approach for thermal error compensation on CNC machine tools.
Abdulshahed, Ali +2 more
core +1 more source
IEEE Systems Journal, 2020 To enhance the photovoltaic (PV) power-generation conversion, maximum power point tracking (MPPT) is the foremost constituent. This article introduces an adaptive neuro-fuzzy inference system–particle swarm optimization (ANFIS–PSO)-based hybrid MPPT ...
Neeraj Priyadarshi +4 more
semanticscholar +1 more source
Heliyon, 2023 The Adaptive Neuro-Fuzzy Inference System (ANFIS) combines the strengths of both Artificial Neural Networks (ANNs) and Fuzzy Logic (FL) into a single framework.
Naghmeh Jafarzade +6 more
doaj +1 more source
An adaptive neuro fuzzy inference system to model the uniaxial compressive strength of cemented hydraulic backfill [PDF]
, 2018 Purpose. The purpose of this paper is to develop the models for predicting the uniaxial compressive strength (UCS) of cemented hydraulic backfill (CHB), a widely used technique for filling underground voids created by mining operations as it provides ...
Basarir, H +4 more
core +1 more source