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
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The application of ANFIS prediction models for thermal error compensation on CNC machine tools [PDF]
, 2014 Thermal errors can have significant effects on CNC machine tool accuracy. The errors come from thermal deformations of the machine elements caused by heat sources within the machine structure or from ambient temperature change.
Abdulshahed +35 more
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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
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Applied Water Science, 2019 In natural rivers and artificial channels in addition to the channel dimensions (widening, reduction in slope and depth in the channel banks), formed shape profile in the case that the sediment on the banks with no movement (thresholds state) is of ...
Azadeh Gholami +5 more
doaj +1 more source
Adaptive neuro-fuzzy inference system for temperature and humidity profile retrieval from microwave radiometer observations [PDF]
Atmospheric Measurement Techniques, 2015 The retrieval of accurate profiles of temperature and water vapour is important for the study of atmospheric convection. Recent development in computational techniques motivated us to use adaptive techniques in the retrieval algorithms.
K. Ramesh +4 more
doaj +1 more source
An adaptive neuro-fuzzy propagation model for LoRaWAN [PDF]
, 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
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Modelling of a Flexible Manoeuvring System Using ANFIS Techniques [PDF]
, 2010 The increased utilization of flexible structure systems, such as flexible manipulators and flexible aircraft in various applications, has been motivated by the requirements of industrial automation in recent years.
Bin Zaidan, Martha Arbayani +2 more
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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 +3 more
doaj +1 more source
Prediction in Photovoltaic Power by Neural Networks [PDF]
, 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
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