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A new linear & nonlinear artificial neural network model for time series forecasting

Decision Support Systems, 2013-02, Vol.54 (3), p.1340-1347

2013

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TURİZM GELİRLERİNİN CARİ İŞLEMLER DENGESİNE ETKİLERİ: TÜRKİYE ÖRNEĞİ ÜZERİNDE YAPAY SİNİR AĞLARI İLE ÖNGÖRÜ

Uluslararası iktisadi ve idari incelemeler dergisi (Online), 2021-04, Vol.14 (31), p.247-264

2021

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Median-Pi artificial neural network for forecasting

Neural computing & applications, 2019-01, Vol.31 (1), p.307-316

2019

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Bootstrapped Holt Method with Autoregressive Coefficients Based on Harmony Search Algorithm

Forecasting, 2021-12, Vol.3 (4), p.839-849

2021

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Predicting the Water Level Fluctuation in an Alpine Lake Using Physically Based, Artificial Neural Network, and Time Series Forecasting Models

Mathematical problems in engineering, 2015-01, Vol.2015 (2015), p.1-11

2015

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Antioxidant properties, element contents and antimicrobial activities of bee pollen collected by Apis mellifera L. in Türkiye

Spanish journal of agricultural research : SJAR, 2022-01, Vol.20 (4), p.e0506

2022

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A New Multiplicative Seasonal Neural Network Model Based on Particle Swarm Optimization

Neural processing letters, 2013-06, Vol.37 (3), p.251-262

2013

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Dendritic neuron model neural network trained by modified particle swarm optimization for time‐series forecasting

Journal of forecasting, 2022-07, Vol.41 (4), p.793-809

2022

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The forecasting of labour force participation and the unemployment rate in Poland and Turkey using fuzzy time series methods

Comparative economic research. Central and Eastern Europe, 2016-06, Vol.19 (2), p.5-25

2016

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A novel intuitionistic fuzzy time series prediction model with cascaded structure for financial time series

Expert systems with applications, 2023-04, Vol.215, p.119336, Article 119336

2023

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A new ensemble intuitionistic fuzzy-deep forecasting model: Consolidation of the IFRFs-bENR with LSTM

Information sciences, 2024-09, Vol.679, p.121007, Article 121007

2024

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Fuzzy time series forecasting with a novel hybrid approach combining fuzzy c-means and neural networks

Expert systems with applications, 2013-02, Vol.40 (3), p.854-857

2013

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A NEW MULTILAYER FEEDFORWARD NETWORK BASED ON TRIMMED MEAN NEURON MODEL

Neural Network World, 2015-01, Vol.25 (6), p.587-602

2015

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Mathematical Development and Evaluation of Forecasting Models for Accuracy of Inflation in Developing Countries: A Case of Vietnam

Discrete Dynamics in Nature and Society, 2015-01, Vol.2015 (2015), p.144-157-314

2015

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Picture fuzzy regression functions approach for financial time series based on ridge regression and genetic algorithm

Journal of computational and applied mathematics, 2020-05, Vol.370, p.112656, Article 112656

2020

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Intuitionistic fuzzy time series functions approach for time series forecasting

Granular computing (Internet), 2021-07, Vol.6 (3), p.619-629

2021

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Multivariate intuitionistic fuzzy inference system for stock market prediction: The cases of Istanbul and Taiwan

Applied soft computing, 2022-02, Vol.116, p.108363, Article 108363

2022

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Prediction of the Premium Production of Some Insurance Companies Operating in Turkey with Artificial Neural Networks

Turkish Journal of Forecasting, 2022-12, Vol.6 (2), p.73-82

2022

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A robust training of dendritic neuron model neural network for time series prediction

Neural computing & applications, 2023-05, Vol.35 (14), p.10387-10406

2023

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High order fuzzy time series method based on pi-sigma neural network

Engineering applications of artificial intelligence, 2018-06, Vol.72, p.350-356

2018

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Short-term load forecasting: cascade intuitionistic fuzzy time series—univariate and bivariate models

Neural computing & applications, 2024-11, Vol.36 (32), p.20167-20192

2024

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Intuitionistic high-order fuzzy time series forecasting method based on pi-sigma artificial neural networks trained by artificial bee colony

Granular computing (Internet), 2019-10, Vol.4 (4), p.639-654

2019

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Intuitionistic time series fuzzy inference system

Engineering applications of artificial intelligence, 2019-06, Vol.82, p.175-183

2019

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High order fuzzy time series forecasting method based on an intersection operation

Applied mathematical modelling, 2016-10, Vol.40 (19-20), p.8750-8765

2016

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Picture fuzzy time series: Defining, modeling and creating a new forecasting method

Engineering applications of artificial intelligence, 2020-02, Vol.88, p.103367, Article 103367

2020

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A new linear & nonlinear artificial neural network model for time series forecasting

TURİZM GELİRLERİNİN CARİ İŞLEMLER DENGESİNE ETKİLERİ: TÜRKİYE ÖRNEĞİ ÜZERİNDE YAPAY SİNİR AĞLARI İLE ÖNGÖRÜ

Median-Pi artificial neural network for forecasting

Bootstrapped Holt Method with Autoregressive Coefficients Based on Harmony Search Algorithm

Predicting the Water Level Fluctuation in an Alpine Lake Using Physically Based, Artificial Neural Network, and Time Series Forecasting Models

Antioxidant properties, element contents and antimicrobial activities of bee pollen collected by Apis mellifera L. in Türkiye

A New Multiplicative Seasonal Neural Network Model Based on Particle Swarm Optimization

Dendritic neuron model neural network trained by modified particle swarm optimization for time‐series forecasting

The forecasting of labour force participation and the unemployment rate in Poland and Turkey using fuzzy time series methods

A novel intuitionistic fuzzy time series prediction model with cascaded structure for financial time series

A new ensemble intuitionistic fuzzy-deep forecasting model: Consolidation of the IFRFs-bENR with LSTM

Fuzzy time series forecasting with a novel hybrid approach combining fuzzy c-means and neural networks

A NEW MULTILAYER FEEDFORWARD NETWORK BASED ON TRIMMED MEAN NEURON MODEL

Mathematical Development and Evaluation of Forecasting Models for Accuracy of Inflation in Developing Countries: A Case of Vietnam

Picture fuzzy regression functions approach for financial time series based on ridge regression and genetic algorithm

Intuitionistic fuzzy time series functions approach for time series forecasting

Multivariate intuitionistic fuzzy inference system for stock market prediction: The cases of Istanbul and Taiwan

Prediction of the Premium Production of Some Insurance Companies Operating in Turkey with Artificial Neural Networks

A robust training of dendritic neuron model neural network for time series prediction

High order fuzzy time series method based on pi-sigma neural network

Short-term load forecasting: cascade intuitionistic fuzzy time series—univariate and bivariate models

Intuitionistic high-order fuzzy time series forecasting method based on pi-sigma artificial neural networks trained by artificial bee colony

Intuitionistic time series fuzzy inference system

High order fuzzy time series forecasting method based on an intersection operation

Picture fuzzy time series: Defining, modeling and creating a new forecasting method

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