A New Hybrid Method for Time Series Forecasting

Mapping Intimacies ◽

10.21528/cbrn2005-104 ◽

2016 ◽

Author(s):

Tiago A. E. Ferreira ◽

Germano C. Vasconcelos ◽

Paulo J. L. Adeodato

Keyword(s):

Time Series ◽

Hybrid Method ◽

Time Series Forecasting

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Fuzzy time series forecasting based on hesitant fuzzy sets, particle swarm optimization and support vector machine-based hybrid method

Granular Computing ◽

10.1007/s41066-021-00300-3 ◽

2021 ◽

Author(s):

Manish Pant ◽

Sanjay Kumar

Keyword(s):

Time Series ◽

Support Vector Machine ◽

Particle Swarm Optimization ◽

Hybrid Method ◽

Time Series Forecasting ◽

Fuzzy Time Series ◽

Support Vector ◽

Hesitant Fuzzy Sets ◽

Swarm Optimization

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A Novel Hybrid Method for Time Series Forecasting Using Soft Computing Approach

Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB) - Lecture Notes in Computational Vision and Biomechanics ◽

10.1007/978-3-030-00665-5_107 ◽

2019 ◽

pp. 1123-1134 ◽

Author(s):

Arpita Sanghani ◽

Nirav Bhatt ◽

N. C. Chauhan

Keyword(s):

Time Series ◽

Soft Computing ◽

Hybrid Method ◽

Time Series Forecasting ◽

Computing Approach

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A Hybrid Method With Adaptive Sub-Series Clustering and Attention-Based Stacked Residual LSTMs for Multivariate Time Series Forecasting

IEEE Access ◽

10.1109/access.2020.2981506 ◽

2020 ◽

Vol 8 ◽

pp. 62423-62438

Author(s):

Fagui Liu ◽

Yunsheng Lu ◽

Muqing Cai

Keyword(s):

Time Series ◽

Hybrid Method ◽

Multivariate Time Series ◽

Time Series Forecasting

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A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting

International Journal of Forecasting ◽

10.1016/j.ijforecast.2019.03.017 ◽

2020 ◽

Vol 36 (1) ◽

pp. 75-85 ◽

Author(s):

Slawek Smyl

Keyword(s):

Neural Networks ◽

Time Series ◽

Hybrid Method ◽

Recurrent Neural Networks ◽

Exponential Smoothing ◽

Time Series Forecasting

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A hybrid method for tuning neural network for time series forecasting

Proceedings of the 10th annual conference on Genetic and evolutionary computation - GECCO '08 ◽

10.1145/1389095.1389197 ◽

2008 ◽

Author(s):

Aranildo Rodrigues Lima Junior ◽

Tiago Alessandro Espínola Ferreira

Keyword(s):

Neural Network ◽

Time Series ◽

Hybrid Method ◽

Time Series Forecasting

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

Neural Computing and Applications ◽

10.1007/s00521-016-2475-5 ◽

2016 ◽

Vol 29 (3) ◽

pp. 749-760 ◽

Author(s):

Busenur Sarıca ◽

Erol Eğrioğlu ◽

Barış Aşıkgil

Keyword(s):

Time Series ◽

Hybrid Method ◽

Time Series Forecasting

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Short-term wind speed time series forecasting based on a hybrid method with multiple objective optimization for non-convex target

Energy ◽

10.1016/j.energy.2020.119180 ◽

2021 ◽

Vol 215 ◽

pp. 119180

Author(s):

Yunxuan Dong ◽

Jing Wang ◽

Ling Xiao ◽

Tonglin Fu

Keyword(s):

Time Series ◽

Hybrid Method ◽

Time Series Forecasting ◽

Multiple Objective ◽

Multiple Objective Optimization ◽

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Non-iterative procedure incorporated into the fuzzy identification on a hybrid method of functional randomization for time series forecasting models

Applied Soft Computing ◽

10.1016/j.asoc.2019.03.059 ◽

2019 ◽

Vol 80 ◽

pp. 226-242 ◽

Author(s):

J.G. Carvalho ◽

C.T. Costa

Keyword(s):

Time Series ◽

Hybrid Method ◽

Iterative Procedure ◽

Time Series Forecasting ◽

Fuzzy Identification ◽

Forecasting Models

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Hybrid Method for Short-Term Time Series Forecasting Based on EEMD

IEEE Access ◽

10.1109/access.2020.2983588 ◽

2020 ◽

Vol 8 ◽

pp. 61915-61928 ◽

Author(s):

Yujun Yang ◽

Yimei Yang

Keyword(s):

Time Series ◽

Hybrid Method ◽

Time Series Forecasting ◽

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Time series forecasting using empirical mode decomposition and hybrid method

2018 26th Signal Processing and Communications Applications Conference (SIU) ◽

10.1109/siu.2018.8404560 ◽

2018 ◽

Author(s):

Umit Cavus Buyuksahin ◽

Seyda Ertekin

Keyword(s):

Time Series ◽

Empirical Mode Decomposition ◽

Hybrid Method ◽

Time Series Forecasting ◽

Mode Decomposition

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