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A hybrid fuzzy time series model based on granular computing for stock price forecasting
A hybrid fuzzy time series model based on granular computing for stock price forecasting
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A hybrid fuzzy time series model based on granular computing for stock price forecasting

Chen, Mu-Yen ; Chen, Bo-Tsuen

Information sciences, 2015-02, Vol.294, p.227-241 [Periódico revisado por pares]

Elsevier Inc

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2
A novel forecasting method based on multi-order fuzzy time series and technical analysis
A novel forecasting method based on multi-order fuzzy time series and technical analysis
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A novel forecasting method based on multi-order fuzzy time series and technical analysis

Ye, Furong ; Zhang, Liming ; Zhang, Defu ; Fujita, Hamido ; Gong, Zhiguo

Information sciences, 2016-11, Vol.367-368, p.41-57 [Periódico revisado por pares]

Elsevier Inc

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3
Application of linguistic summarization methods in time series forecasting
Application of linguistic summarization methods in time series forecasting
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Application of linguistic summarization methods in time series forecasting

Kaczmarek-Majer, Katarzyna ; Hryniewicz, Olgierd

Information sciences, 2019-04, Vol.478, p.580-594 [Periódico revisado por pares]

Elsevier Inc

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4
Big data time series forecasting based on pattern sequence similarity and its application to the electricity demand
Big data time series forecasting based on pattern sequence similarity and its application to the electricity demand
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Big data time series forecasting based on pattern sequence similarity and its application to the electricity demand

Pérez-Chacón, R. ; Asencio-Cortés, G. ; Martínez-Álvarez, F. ; Troncoso, A.

Information sciences, 2020-11, Vol.540, p.160-174 [Periódico revisado por pares]

Elsevier Inc

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5
A new hybrid enhanced local linear neuro-fuzzy model based on the optimized singular spectrum analysis and its application for nonlinear and chaotic time series forecasting
A new hybrid enhanced local linear neuro-fuzzy model based on the optimized singular spectrum analysis and its application for nonlinear and chaotic time series forecasting
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A new hybrid enhanced local linear neuro-fuzzy model based on the optimized singular spectrum analysis and its application for nonlinear and chaotic time series forecasting

Abdollahzade, Majid ; Miranian, Arash ; Hassani, Hossein ; Iranmanesh, Hossein

Information sciences, 2015-02, Vol.295, p.107-125 [Periódico revisado por pares]

Elsevier Inc

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6
PHILNet: A novel efficient approach for time series forecasting using deep learning
PHILNet: A novel efficient approach for time series forecasting using deep learning
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PHILNet: A novel efficient approach for time series forecasting using deep learning

Jiménez-Navarro, M.J. ; Martínez-Ballesteros, M. ; Martínez-Álvarez, F. ; Asencio-Cortés, G.

Information sciences, 2023-06, Vol.632, p.815-832 [Periódico revisado por pares]

Elsevier Inc

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7
Multi-aspect renewable energy forecasting
Multi-aspect renewable energy forecasting
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Multi-aspect renewable energy forecasting

Corizzo, Roberto ; Ceci, Michelangelo ; Fanaee-T, Hadi ; Gama, Joao

Information sciences, 2021-02, Vol.546, p.701-722 [Periódico revisado por pares]

Elsevier Inc

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8
Adaptive dependency learning graph neural networks
Adaptive dependency learning graph neural networks
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Adaptive dependency learning graph neural networks

Sriramulu, Abishek ; Fourrier, Nicolas ; Bergmeir, Christoph

Information sciences, 2023-05, Vol.625, p.700-714 [Periódico revisado por pares]

Elsevier Inc

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9
A novel spatiotemporal prediction method based on fuzzy Transform: Application to demographic balance data
A novel spatiotemporal prediction method based on fuzzy Transform: Application to demographic balance data
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A novel spatiotemporal prediction method based on fuzzy Transform: Application to demographic balance data

Cardone, Barbara ; Di Martino, Ferdinando

Information sciences, 2023-07, Vol.634, p.677-695 [Periódico revisado por pares]

Elsevier Inc

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10
Forecasting interval time series using a fully complex-valued RBF neural network with DPSO and PSO algorithms
Forecasting interval time series using a fully complex-valued RBF neural network with DPSO and PSO algorithms
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Forecasting interval time series using a fully complex-valued RBF neural network with DPSO and PSO algorithms

Xiong, Tao ; Bao, Yukun ; Hu, Zhongyi ; Chiong, Raymond

Information sciences, 2015-06, Vol.305, p.77-92 [Periódico revisado por pares]

Elsevier Inc

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