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 ◽

Cited By ~ 1

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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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 ◽

Fuzzy Sets ◽

Hybrid Method ◽

Time Series Forecasting ◽

Fuzzy Time Series ◽

Support Vector ◽

Hesitant Fuzzy Sets ◽

Swarm Optimization

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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 ◽

Cited By ~ 42

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

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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Using Soft Computing Methods for Time Series Forecasting

Recent Advances in Data Mining of Enterprise Data: Algorithms and Applications ◽

10.1142/9789812779861_0004 ◽

2008 ◽

pp. 189-246

Author(s):

Pei-Chann Chang ◽

Yen-Wen Wang

Keyword(s):

Time Series ◽

Soft Computing ◽

Computing Methods ◽

Time Series Forecasting ◽

Soft Computing Methods

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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 ◽

Cited By ~ 25

Author(s):

Busenur Sarıca ◽

Erol Eğrioğlu ◽

Barış Aşıkgil

Keyword(s):

Time Series ◽

Hybrid Method ◽

Time Series Forecasting

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Time Series Forecasting by Hybrid Soft Computing Model

2020 International Conference on Advanced Computer Science and Information Systems (ICACSIS) ◽

10.1109/icacsis51025.2020.9263213 ◽

2020 ◽

Author(s):

Bonnie Alexandra Kalinggo ◽

Zulkarnain

Keyword(s):

Time Series ◽

Soft Computing ◽

Time Series Forecasting ◽

Computing Model

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Applications of Soft Computing in Time Series Forecasting

10.1007/978-3-319-26293-2 ◽

2016 ◽

Cited By ~ 2

Author(s):

Pritpal Singh

Keyword(s):

Time Series ◽

Soft Computing ◽

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 ◽

Wind Speed ◽

Hybrid Method ◽

Time Series Forecasting ◽

Multiple Objective ◽

Multiple Objective Optimization ◽

Short Term

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