2024
Short-term load forecasting: cascade intuitionistic fuzzy time series - univariate and bivariate models.
Neural Comput. Appl., November, 2024
A new ensemble intuitionistic fuzzy-deep forecasting model: Consolidation of the IFRFs-bENR with LSTM.
Inf. Sci., 2024
2023
A robust training of dendritic neuron model neural network for time series prediction.
Neural Comput. Appl., May, 2023
A novel intuitionistic fuzzy time series prediction model with cascaded structure for financial time series.
Expert Syst. Appl., April, 2023
A Robust Learning Algorithm Based on Particle Swarm Optimization for Pi-Sigma Artificial Neural Networks.
Big Data, April, 2023
2022
Multivariate intuitionistic fuzzy inference system for stock market prediction: The cases of Istanbul and Taiwan.
Appl. Soft Comput., 2022
2021
An adaptive forecast combination approach based on meta intuitionistic fuzzy functions.
J. Intell. Fuzzy Syst., 2021
Probabilistic forecasting, linearity and nonlinearity hypothesis tests with bootstrapped linear and nonlinear artificial neural network.
J. Exp. Theor. Artif. Intell., 2021
Maximum likelihood and maximum product of spacings estimations for the parameters of skew-normal distribution under doubly type II censoring using genetic algorithm.
Expert Syst. Appl., 2021
2020
A new intuitionistic fuzzy functions approach based on hesitation margin for time-series prediction.
Soft Comput., 2020
Picture fuzzy regression functions approach for financial time series based on ridge regression and genetic algorithm.
J. Comput. Appl. Math., 2020
Picture fuzzy time series: Defining, modeling and creating a new forecasting method.
Eng. Appl. Artif. Intell., 2020
2019
Median-Pi artificial neural network for forecasting.
Neural Comput. Appl., 2019
Intuitionistic time series fuzzy inference system.
Eng. Appl. Artif. Intell., 2019
2018
Maximum likelihood estimation for the parameters of skew normal distribution using genetic algorithm.
Swarm Evol. Comput., 2018
Single Multiplicative Neuron Model Artificial Neural Network with Autoregressive Coefficient for Time Series Modelling.
Neural Process. Lett., 2018
A new fuzzy inference system for time series forecasting and obtaining the probabilistic forecasts via subsampling block bootstrap.
J. Intell. Fuzzy Syst., 2018
An ARMA Type Pi-Sigma Artificial Neural Network for Nonlinear Time Series Forecasting.
J. Artif. Intell. Soft Comput. Res., 2018
High order fuzzy time series method based on pi-sigma neural network.
Eng. Appl. Artif. Intell., 2018
2016
Multiplicative neuron model artificial neural network based on Gaussian activation function.
Neural Comput. Appl., 2016
Type-1 fuzzy time series function method based on binary particle swarm optimisation.
Int. J. Data Anal. Tech. Strateg., 2016
An ensemble of single multiplicative neuron models for probabilistic prediction.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
2015
Recurrent Multiplicative Neuron Model Artificial Neural Network for Non-linear Time Series Forecasting.
Neural Process. Lett., 2015
Fuzzy-time-series network used to forecast linear and nonlinear time series.
Appl. Intell., 2015
2014
A fuzzy time series approach based on weights determined by the number of recurrences of fuzzy relations.
Swarm Evol. Comput., 2014
Robust multilayer neural network based on median neuron model.
Neural Comput. Appl., 2014
An enhanced fuzzy time series forecasting method based on artificial bee colony.
J. Intell. Fuzzy Syst., 2014
A high order seasonal fuzzy time series model and application to international tourism demand of Turkey.
J. Intell. Fuzzy Syst., 2014
Fuzzy lagged variable selection in fuzzy time series with genetic algorithms.
Appl. Soft Comput., 2014
A modified genetic algorithm for forecasting fuzzy time series.
Appl. Intell., 2014
2013
A New Multiplicative Seasonal Neural Network Model Based on Particle Swarm Optimization.
Neural Process. Lett., 2013
Fuzzy time series forecasting with a novel hybrid approach combining fuzzy c-means and neural networks.
Expert Syst. Appl., 2013
A new linear & nonlinear artificial neural network model for time series forecasting.
Decis. Support Syst., 2013
2012
A new time invariant fuzzy time series forecasting method based on particle swarm optimization.
Appl. Soft Comput., 2012
2011
A new approach based on the optimization of the length of intervals in fuzzy time series.
J. Intell. Fuzzy Syst., 2011
Determining the most proper number of cluster in fuzzy clustering by using artificial neural networks.
Expert Syst. Appl., 2011
Fuzzy time series forecasting method based on Gustafson-Kessel fuzzy clustering.
Expert Syst. Appl., 2011
2010
Forecast Combination by Using Artificial Neural Networks.
Neural Process. Lett., 2010
A high order fuzzy time series forecasting model based on adaptive expectation and artificial neural networks.
Math. Comput. Simul., 2010
Finding an optimal interval length in high order fuzzy time series.
Expert Syst. Appl., 2010
2009
A new approach based on artificial neural networks for high order multivariate fuzzy time series.
Expert Syst. Appl., 2009
A new hybrid approach based on SARIMA and partial high order bivariate fuzzy time series forecasting model.
Expert Syst. Appl., 2009
Forecasting in high order fuzzy times series by using neural networks to define fuzzy relations.
Expert Syst. Appl., 2009
A new approach for determining the length of intervals for fuzzy time series.
Appl. Soft Comput., 2009