A novel time-power based grey model for nonlinear time series forecasting

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2021.104441 ◽

2021 ◽

Vol 105 ◽

pp. 104441

Author(s):

Keyong Wan ◽

Bin Li ◽

Weijie Zhou ◽

Haicheng Zhu ◽

Song Ding

Keyword(s):

Time Series ◽

Nonlinear Time Series ◽

Time Series Forecasting ◽

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Financial Time Series Forecasting Model Based on EMD and Rolling Grey Model

2020 IEEE Workshop on Signal Processing Systems (SiPS) ◽

10.1109/sips50750.2020.9195218 ◽

2020 ◽

Author(s):

Binjing Li ◽

Fenggui Liu ◽

Jun Lin ◽

Zhongfeng Wang

Keyword(s):

Time Series ◽

Financial Time Series ◽

Time Series Forecasting ◽

Forecasting Model ◽

Financial Time ◽

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Design of Experiment to Optimize the Architecture of Deep Learning for Nonlinear Time Series Forecasting

Procedia Computer Science ◽

10.1016/j.procs.2018.10.528 ◽

2018 ◽

Vol 144 ◽

pp. 269-276 ◽

Author(s):

Suhartono ◽

Novri Suhermi ◽

Dedy Dwi Prastyo

Keyword(s):

Time Series ◽

Deep Learning ◽

Design Of Experiment ◽

Nonlinear Time Series ◽

Time Series Forecasting

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Stochastic nonlinear time series forecasting using time-delay reservoir computers: Performance and universality

Neural Networks ◽

10.1016/j.neunet.2014.03.004 ◽

2014 ◽

Vol 55 ◽

pp. 59-71 ◽

Author(s):

Lyudmila Grigoryeva ◽

Julie Henriques ◽

Laurent Larger ◽

Juan-Pablo Ortega

Keyword(s):

Time Series ◽

Nonlinear Time Series ◽

Time Series Forecasting

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Stochastic Nonlinear Time Series Forecasting Using Time-Delay Reservoir Computers: Performance and Universality

SSRN Electronic Journal ◽

10.2139/ssrn.2350331 ◽

2013 ◽

Author(s):

Lyudmila Grigoryeva ◽

Julie Henriques ◽

Laurent Larger ◽

Juan-Pablo Ortega

Keyword(s):

Time Series ◽

Nonlinear Time Series ◽

Time Series Forecasting

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Research on Nonlinear Time Series Forecasting of Time-Delay NN Embedded with Bayesian Regularization

Artificial Intelligence and Computational Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-642-05253-8_42 ◽

2009 ◽

pp. 379-388

Author(s):

Weijin Jiang ◽

Yusheng Xu ◽

Yuhui Xu ◽

Jianmin Wang

Keyword(s):

Time Series ◽

Nonlinear Time Series ◽

Time Series Forecasting ◽

Bayesian Regularization

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About the trade-off between accuracy and interpretability of Takagi-Sugeno models in the context of nonlinear time series forecasting

Interpretability Issues in Fuzzy Modeling - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-540-37057-4_17 ◽

2003 ◽

pp. 406-430 ◽

Author(s):

Antonio Fiordaliso

Keyword(s):

Time Series ◽

Nonlinear Time Series ◽

Time Series Forecasting ◽

Trade Off ◽

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The combination of immune evolution and neural network for nonlinear time series forecasting

10.1117/12.717498 ◽

2006 ◽

Author(s):

Xiulan Wen ◽

Xiaolan Xue ◽

Peng Zhang ◽

Jing Tan

Keyword(s):

Neural Network ◽

Time Series ◽

Nonlinear Time Series ◽

Time Series Forecasting

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Small and multi-peak nonlinear time series forecasting using a hybrid back propagation neural network

Information Sciences ◽

10.1016/j.ins.2017.09.067 ◽

2018 ◽

Vol 424 ◽

pp. 39-54 ◽

Author(s):

Xuefan Dong ◽

Ying Lian ◽

Yijun Liu

Keyword(s):

Neural Network ◽

Time Series ◽

Back Propagation ◽

Nonlinear Time Series ◽

Back Propagation Neural Network ◽

Time Series Forecasting

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Nonlinear time series forecasting of time-delay neural network embedded with Bayesian regularization

Applied Mathematics and Computation ◽

10.1016/j.amc.2008.05.064 ◽

2008 ◽

Vol 205 (1) ◽

pp. 123-132 ◽

Author(s):

Weijin Jiang ◽

Lianmei Zhang ◽

Pu Wang

Keyword(s):

Neural Network ◽

Time Series ◽

Nonlinear Time Series ◽

Time Series Forecasting ◽

Bayesian Regularization

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Nonlinear time series forecasting using a novel self-adaptive TLBO-MFLANN model

International Journal of Computational Intelligence Studies ◽

10.1504/ijcistudies.2019.098013 ◽

2019 ◽

Vol 8 (1/2) ◽

pp. 4

Author(s):

Sibarama Panigrahi ◽

H.S. Behera

Keyword(s):

Time Series ◽

Nonlinear Time Series ◽

Time Series Forecasting ◽

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