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
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
Journal of Computational Design and Engineering, 2021 Service supply chain management is a complex process because of its intangibility, high diversity of services, trustless settings, and uncertain conditions.
S. M. H. Bamakan +2 more
semanticscholar +1 more source
A review of training methods of ANFIS for applications in business and economic [PDF]
, 2016 Fuzzy Neural Networks (FNNs) techniques have been effectively used in applications that range from medical to mechanical engineering, to business and economics.
Hussain, Kashif, Mohd Salleh, Mohd Najib
core +1 more source
IEEE Access, 2020 The IoT has applications in many areas such as manufacturing, healthcare, and agriculture, to name a few. Recently, wearable devices have become popular with wide applications in the health monitoring system which has stimulated the growth of the ...
Mohammad Ayoub Khan, Fahad Algarni
semanticscholar +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
علوم آب و خاک, 2021 Optimization of artificial intelligence (AI) models is a significant issue because it enhances the performance and flexibility of the numerical models.
E. Yarmohammadi, S. Shabanlou, A. Rajabi
doaj
Electric vehicle battery model identification and state of charge estimation in real world driving cycles [PDF]
, 2015 This paper describes a study demonstrating a new method of state-of-charge (SoC) estimation for batteries in real-world electric vehicle applications. This method combines realtime model identification with an adaptive neuro-fuzzy inference system (ANFIS)
Auger, Daniel J. +2 more
core +1 more source
Modeling and Uncertainty Analysis of Groundwater Level Using Six Evolutionary Optimization Algorithms Hybridized with ANFIS, SVM, and ANN [PDF]
Sustainability, 2020 In the present study, six meta-heuristic schemes are hybridized with artificial neural network (ANN), adaptive neuro-fuzzy interface system (ANFIS), and support vector machine (SVM), to predict monthly groundwater level (GWL), evaluate uncertainty ...
A. Seifi +3 more
semanticscholar +1 more source
Analysis and Application of Advanced Control Strategies to a Heating Element Nonlinear Model [PDF]
, 2017 open4siSustainable control has begun to stimulate research and development in a wide range of industrial communities particularly for systems that demand a high degree of reliability and availability (sustainability) and at the same time characterised by
Gokcen Akkurt, G. +3 more
core +1 more source