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A new hybrid method for time series forecasting: AR–ANFIS

https://doi.org/10.1007/s00521-016-2475-5
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s10489-015-0647-0openalex-snapshot
Fuzzy-time-series network used to forecast linear and nonlinear time series
inferredcites →https://doi.org/10.1007/s10586-014-0420-xopenalex-snapshot
FUGE: A joint meta-heuristic approach to cloud job scheduling algorithm using fuzzy theory and a genetic method
inferredcites →https://doi.org/10.1007/s11227-014-1305-8openalex-snapshot
Energy-efficient adaptive networked datacenters for the QoS support of real-time applications
inferredcites →https://doi.org/10.1016/0098-3004(84)90020-7openalex-snapshot
FCM: The fuzzy c-means clustering algorithm
inferredcites →https://doi.org/10.1016/0165-0114(95)00220-0openalex-snapshot
Forecasting enrollments based on fuzzy time series
inferredcites →https://doi.org/10.1016/j.asoc.2008.11.001openalex-snapshot
Identification using ANFIS with intelligent hybrid stable learning algorithm approaches and stability analysis of training methods
inferredcites →https://doi.org/10.1016/j.asoc.2016.01.027openalex-snapshot
A hybrid ANFIS model based on empirical mode decomposition for stock time series forecasting
inferredcites →https://doi.org/10.1016/j.compag.2015.02.010openalex-snapshot
Soft computing approaches for forecasting reference evapotranspiration
inferredcites →https://doi.org/10.1016/j.econmod.2012.09.047openalex-snapshot
OWA-based ANFIS model for TAIEX forecasting
inferredcites →https://doi.org/10.1016/j.enbuild.2011.07.010openalex-snapshot
Forecasting building energy consumption using neural networks and hybrid neuro-fuzzy system: A comparative study
inferredcites →https://doi.org/10.1016/j.eneco.2009.01.012openalex-snapshot
Hydraulic plant generation forecasting in Colombian power market using ANFIS
inferredcites →https://doi.org/10.1016/j.energy.2015.04.109openalex-snapshot
Forecasting of consumers heat load in district heating systems using the support vector machine with a discrete wavelet transform algorithm
inferredcites →https://doi.org/10.1016/j.eswa.2010.11.095openalex-snapshot
Comparing ANFIS and SEM in linear and nonlinear forecasting of new product development performance
inferredcites →https://doi.org/10.1016/j.fss.2008.04.003openalex-snapshot
Resolving the forecasting problems of overshoot and volatility clustering using ANFIS coupling nonlinear heteroscedasticity with quantum tuning
inferredcites →https://doi.org/10.1016/j.ijepes.2012.01.001openalex-snapshot
Short-term electricity prices forecasting in a competitive market by a hybrid PSO–ANFIS approach
inferredcites →https://doi.org/10.1016/j.ins.2010.08.026openalex-snapshot
Multi-variable fuzzy forecasting based on fuzzy clustering and fuzzy rule interpolation techniques
inferredcites →https://doi.org/10.1016/j.jhydrol.2012.03.031openalex-snapshot
Hydrological time series modeling: A comparison between adaptive neuro-fuzzy, neural network and autoregressive techniques
inferredcites →https://doi.org/10.1016/j.neucom.2008.09.027openalex-snapshot
Fusion ANFIS models based on multi-stock volatility causality for TAIEX forecasting
inferredcites →https://doi.org/10.1016/s0925-2312(01)00702-0openalex-snapshot
Time series forecasting using a hybrid ARIMA and neural network model
inferredcites →https://doi.org/10.1109/21.256541openalex-snapshot
ANFIS: adaptive-network-based fuzzy inference system
inferredcites →https://doi.org/10.1109/ams.2008.56openalex-snapshot
Data Modeling for Kuala Lumpur Composite Index with ANFIS
inferredcites →https://doi.org/10.1109/apccas.2008.4746039openalex-snapshot
Recurrent type ANFIS using local search technique for time series prediction
inferredcites →https://doi.org/10.1109/cec.1999.785511openalex-snapshot
Empirical study of particle swarm optimization
inferredcites →https://doi.org/10.1109/cesa.2006.4281673openalex-snapshot
Hybrid Model of WT and ANFIS and Its Application on Time Series Prediction of Ship Roll Motion
inferredcites →https://doi.org/10.1109/coase.2015.7294321openalex-snapshot
Adaptive neuro-fuzzy inference system with evolutionary algorithm for designing process parameters of color filter
inferredcites →https://doi.org/10.1109/ic4.2009.4909240openalex-snapshot
Comparison of ANFIS and RBF models in daily stream flow forecasting
inferredcites →https://doi.org/10.1109/iccsn.2009.140openalex-snapshot
Short-Term Traffic Flow Prediction Based on ANFIS
inferredcites →https://doi.org/10.1109/iccsn36295.2015openalex-snapshot
2015 IEEE International Conference on Communication Software and Networks (ICCSN)
inferredcites →https://doi.org/10.1109/icmlc.2005.1527557openalex-snapshot
Time series prediction based on ensemble ANFIS
inferredcites →https://doi.org/10.1109/icsmc.2009.5346732openalex-snapshot
Forecasting electronic industry EPS using an integrated ANFIS model
inferredcites →https://doi.org/10.1109/icssbe.2012.6396564openalex-snapshot
Ensemble method based on ANFIS-ARIMA for rainfall prediction
inferredcites →https://doi.org/10.1109/icssbe.2012.6396642openalex-snapshot
Two-level seasonal model based on hybrid ARIMA-ANFIS for forecasting short-term electricity load in Indonesia
inferredcites →https://doi.org/10.1109/isap.2011.6082232openalex-snapshot
Application of an intelligent system based on EPSO and ANFIS to price forecasting
inferredcites →https://doi.org/10.1109/melcon.2010.5475923openalex-snapshot
Wind power short-term prediction by a hybrid PSO-ANFIS approach
inferredcites →https://doi.org/10.1109/mhs.1995.494215openalex-snapshot
A new optimizer using particle swarm theory
inferredcites →https://doi.org/10.1109/mms.2009.5409834openalex-snapshot
ANFIS method for forecasting internet traffic time series
inferredcites →https://doi.org/10.1109/pes.2007.386131openalex-snapshot
An ANFIS-based Forecasting for Solar Radiation Data from Sunshine Duration and Ambient Temperature
inferredcites →https://doi.org/10.1109/sis.2003.1202274openalex-snapshot
Using neighbourhoods with the guaranteed convergence PSO
inferredcites →https://doi.org/10.1109/tdc-la.2008.4641839openalex-snapshot
Application of support vector machines and ANFIS to the short-term load forecasting
inferredcites →https://doi.org/10.1109/tfuzz.2010.2073712openalex-snapshot
TAIEX Forecasting Based on Fuzzy Time Series and Fuzzy Variation Groups
inferredcites →https://doi.org/10.1109/tpwrs.2008.922249openalex-snapshot
RBF Neural Network and ANFIS-Based Short-Term Load Forecasting Approach in Real-Time Price Environment
inferredcites →https://doi.org/10.1109/tpwrs.2010.2049385openalex-snapshot
Hybrid Wavelet-PSO-ANFIS Approach for Short-Term Electricity Prices Forecasting
inferredcites →https://doi.org/10.1109/tsmc.1985.6313399openalex-snapshot
Fuzzy identification of systems and its applications to modeling and control
inferredcites →https://doi.org/10.1109/tsmca.2012.2190399openalex-snapshot
TAIEX Forecasting Using Fuzzy Time Series and Automatically Generated Weights of Multiple Factors
inferredcites →https://doi.org/10.1109/tste.2010.2076359openalex-snapshot
Hybrid Wavelet-PSO-ANFIS Approach for Short-Term Wind Power Forecasting in Portugal
inferredcites →https://doi.org/10.1109/upec.2006.367770openalex-snapshot
Demand Forecasting Using Time Series Modelling and ANFIS Estimator
inferredcites →https://doi.org/10.5120/12751-9694openalex-snapshot
Guaranteed Convergence Particle Swarm Optimization using Personal Best

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4089138openalex-extracted
inferred← citeshttps://doi.org/10.1002/for.3189openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/rnc.4890openalex-snapshot
Recursive methods for estimating the radial basis function‐based state‐dependent autoregressive model
inferred← citeshttps://doi.org/10.1007/978-3-030-51949-0_4openalex-snapshot
A Fuzzy Arithmetic-Based Time Series Model
inferred← citeshttps://doi.org/10.1007/978-981-97-6352-8_48openalex-snapshot
Automated Model Discovery for Forecasting Stock Market Using Artificial Neural Network
inferred← citeshttps://doi.org/10.1007/978-981-99-3076-0_12openalex-snapshot
Forecasting the Exchange Rate in Diffuse Time Series by Hybridization of the OWA Operator in an Adaptive ARANFIS Neuronal Network
inferred← citeshttps://doi.org/10.1007/s00500-019-04432-2openalex-snapshot
A new intuitionistic fuzzy functions approach based on hesitation margin for time-series prediction
inferred← citeshttps://doi.org/10.1007/s00500-020-05176-0openalex-snapshot
Parallel hybridization of series (PHOS) models for time series forecasting
inferred← citeshttps://doi.org/10.1007/s00521-019-04474-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s00521-020-04843-5openalex-snapshot
Urban traffic flows forecasting by recurrent neural networks with spiral structures of layers
inferred← citeshttps://doi.org/10.1007/s00521-020-05434-0openalex-snapshot
ARIMA models for predicting the end of COVID-19 pandemic and the risk of second rebound
inferred← citeshttps://doi.org/10.1007/s00521-022-07138-zopenalex-snapshot
A hybrid sigma-pi neural network for combined intuitionistic fuzzy time series prediction model
inferred← citeshttps://doi.org/10.1007/s00521-022-07753-wopenalex-snapshot
A new hybrid recurrent artificial neural network for time series forecasting
inferred← citeshttps://doi.org/10.1007/s10462-017-9610-2openalex-snapshot
Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey
inferred← citeshttps://doi.org/10.1007/s10489-021-02442-yopenalex-snapshot
A novel general-purpose hybrid model for time series forecasting
inferred← citeshttps://doi.org/10.1007/s10586-020-03099-xopenalex-snapshot
An intelligent approach for predicting resource usage by combining decomposition techniques with NFTS network
inferred← citeshttps://doi.org/10.1007/s10614-021-10132-7openalex-snapshot
A Novel ARMA Type Possibilistic Fuzzy Forecasting Functions Based on Grey-Wolf Optimizer (ARMA-PFFs)
inferred← citeshttps://doi.org/10.1007/s10614-021-10219-1openalex-snapshot
Integrating Wavelet Decomposition and Fuzzy Transformation for Improving the Accuracy of Forecasting Crude Oil Price
inferred← citeshttps://doi.org/10.1007/s11063-018-9927-0openalex-snapshot
Fuzzy Time Series Models Using Pliant- and Asymptotically Pliant Arithmetic-Based Inference
inferred← citeshttps://doi.org/10.1007/s11063-022-10767-zopenalex-snapshot
A New CNN-Based Model for Financial Time Series: TAIEX and FTSE Stocks Forecasting
inferred← citeshttps://doi.org/10.1007/s11063-022-10774-0openalex-snapshot
Long Time Series Deep Forecasting with Multiscale Feature Extraction and Seq2seq Attention Mechanism
inferred← citeshttps://doi.org/10.1007/s11063-023-11332-yopenalex-snapshot
Weighting Approaches in Data Mining and Knowledge Discovery: A Review
inferred← citeshttps://doi.org/10.1007/s12652-020-02455-4openalex-snapshot
RETRACTED ARTICLE: ANN and fuzzy based household energy consumption prediction with high accuracy
inferred← citeshttps://doi.org/10.1007/s41066-020-00220-8openalex-snapshot
Intuitionistic fuzzy time series functions approach for time series forecasting
inferred← citeshttps://doi.org/10.1016/j.asoc.2017.04.021openalex-snapshot
ARMA(p,q) type high order fuzzy time series forecast method based on fuzzy logic relations
inferred← citeshttps://doi.org/10.1016/j.asoc.2018.08.009openalex-snapshot
Meta fuzzy functions: Application of recurrent type-1 fuzzy functions
inferred← citeshttps://doi.org/10.1016/j.asoc.2021.107691openalex-snapshot
RBF neural network modeling approach using PCA based LM–GA optimization for coke furnace system
inferred← citeshttps://doi.org/10.1016/j.asoc.2021.108363openalex-snapshot
Multivariate intuitionistic fuzzy inference system for stock market prediction: The cases of Istanbul and Taiwan
inferred← citeshttps://doi.org/10.1016/j.asoc.2022.109833openalex-snapshot
Optimal forecast combination based on PSO-CS approach for daily agricultural future prices forecasting
inferred← citeshttps://doi.org/10.1016/j.cam.2019.112653openalex-snapshot
Type-1 possibilistic fuzzy forecasting functions
inferred← citeshttps://doi.org/10.1016/j.cam.2019.112656openalex-snapshot
Picture fuzzy regression functions approach for financial time series based on ridge regression and genetic algorithm
inferred← citeshttps://doi.org/10.1016/j.chaos.2022.111880openalex-snapshot
A novel class of reliability-based parallel hybridization (RPH) models for time series forecasting
inferred← citeshttps://doi.org/10.1016/j.cie.2020.106435openalex-snapshot
An optimized model using LSTM network for demand forecasting
inferred← citeshttps://doi.org/10.1016/j.cie.2022.108300openalex-snapshot
An intelligent and multi-channel deep feature enhanced framework for predicting difficult-to-measure CTQ
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2026.103661openalex-snapshot
Enhancing underwater acoustic signal prediction with adaptive double-stage decomposition and a hybrid model
inferred← citeshttps://doi.org/10.1016/j.engappai.2019.03.024openalex-snapshot
Intuitionistic time series fuzzy inference system
inferred← citeshttps://doi.org/10.1016/j.engappai.2019.08.018openalex-snapshot
Hybrid structures in time series modeling and forecasting: A review
inferred← citeshttps://doi.org/10.1016/j.eswa.2019.112913openalex-snapshot
Type-1 recurrent intuitionistic fuzzy functions for forecasting
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.119336openalex-snapshot
A novel intuitionistic fuzzy time series prediction model with cascaded structure for financial time series
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.123910openalex-snapshot
An interpretable multi-scaled agent hierarchy for time series prediction
inferred← citeshttps://doi.org/10.1016/j.ins.2021.10.054openalex-snapshot
A new QoS prediction model using hybrid IOWA-ANFIS with fuzzy C-means, subtractive clustering and grid partitioning
inferred← citeshttps://doi.org/10.1016/j.ins.2021.12.001openalex-snapshot
A new hybrid method for predicting univariate and multivariate time series based on pattern forecasting
inferred← citeshttps://doi.org/10.1016/j.ins.2022.01.057openalex-snapshot
A fuzzy regression functions approach based on Gustafson-Kessel clustering algorithm
inferred← citeshttps://doi.org/10.1016/j.physa.2022.127173openalex-snapshot
Series Hybridization of Parallel (SHOP) models for time series forecasting
inferred← citeshttps://doi.org/10.1080/03610918.2019.1626887openalex-snapshot
Intuitionistic fuzzy ridge regression functions
inferred← citeshttps://doi.org/10.1088/1742-6596/1613/1/012019openalex-snapshot
A survey of time series forecasting from stochastic method to soft computing
inferred← citeshttps://doi.org/10.1088/1742-6596/1863/1/012061openalex-snapshot
Hybrid ARIMAX-ANFIS based on LM Test for Prediction of Time Series with Holiday Effect
inferred← citeshttps://doi.org/10.1108/jm2-05-2021-0116openalex-snapshot
Linear optimal weighting estimator (LOWE) for efficient parallel hybridization of load forecasts
inferred← citeshttps://doi.org/10.1109/iccce48422.2019.9010899openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/iccsm66818.2025.00024openalex-snapshot
Dealing Multicollinearity Problem in Time Series Prediction: Innovative Fuzzy Regression Functions Based on Liu-Type Estimator
inferred← citeshttps://doi.org/10.1109/icecds.2017.8389719openalex-snapshot
Comparative study of different weather forecasting models
inferred← citeshttps://doi.org/10.1109/ics51289.2020.00061openalex-snapshot
Car Sales Prediction System Based on Fuzzy Time Series and Adaptive Neuro Fuzzy Inference System
inferred← citeshttps://doi.org/10.1109/ijcnn55064.2022.9892044openalex-snapshot
Time Series Forecasting Using Online Performance-based Ensemble Deep Random Vector Functional Link Neural Network
inferred← citeshttps://doi.org/10.1109/tfuzz.2022.3157947openalex-snapshot
On Fractional Tikhonov Regularization: Application to the Adaptive Network-Based Fuzzy Inference System for Regression Problems
inferred← citeshttps://doi.org/10.1109/tkde.2022.3231008openalex-snapshot
An Optimal Hybrid Bi-Component Series-Parallel Structure for Time Series Forecasting
inferred← citeshttps://doi.org/10.1142/s0218001420510015openalex-snapshot
One Core Task of Interpretability in Machine Learning — Expansion of Structural Equation Modeling
inferred← citeshttps://doi.org/10.1155/2021/1031442openalex-snapshot
A Multistep Prediction of Hydropower Station Inflow Based on Bagging-LSTM Model
inferred← citeshttps://doi.org/10.14744/sigma.2021.00001openalex-snapshot
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inferred← citeshttps://doi.org/10.14783/maruoneri.771818openalex-snapshot
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inferred← citeshttps://doi.org/10.15802/stp2023/293801openalex-snapshot
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inferred← citeshttps://doi.org/10.17771/pucrio.acad.53316openalex-snapshot
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inferred← citeshttps://doi.org/10.3233/jifs-189791openalex-snapshot
Influence of medical epidemic prevention and control on the development of sports events based on FPGA system and machine learning
inferred← citeshttps://doi.org/10.3233/jifs-202021openalex-snapshot
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inferred← citeshttps://doi.org/10.33103/uot.ijccce.24.1.7openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/jmse11030466openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/jsan12050071openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/su15075689openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/sym9070124openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/sym9100207openalex-snapshot
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inferred← citeshttps://doi.org/10.37880/cumuiibf.1885701openalex-snapshot
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inferred← citeshttps://doi.org/10.4018/ijfsa.313602openalex-snapshot
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inferred← citeshttps://doi.org/10.48129/kjs.v48i4.10383openalex-snapshot
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inferred← citeshttps://doi.org/10.5281/zenodo.18629902openalex-snapshot
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inferred← citeshttps://doi.org/10.5539/ijef.v13n7p1openalex-snapshot
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inferred← citeshttps://doi.org/10.70675/b10aa668z3c4fz43fezb0fezda6bc1107c54openalex-snapshot
Improving and optimizing the performance of the supply chain : The case of coffee production in Vietnam
inferred← citeshttps://doi.org/10.7240/jeps.1573839openalex-snapshot
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inferred← citeshttps://doi.org/10.7240/jeps.1818060openalex-snapshot
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