Transductive LSTM for time-series prediction: An application to weather forecasting

Zahra Karevan; Johan A. K. Suykens

doi:10.1016/j.neunet.2019.12.030

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Transductive LSTM for time-series prediction: An application to weather forecasting

Zahra Karevan Johan A. K. Suykens

Year: 2020 Journal: Neural Networks Vol: 125 Pages: 1-9 Publisher: Elsevier BV

DOI: 10.1016/j.neunet.2019.12.030

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Keywords:

Computer science Weighting Artificial intelligence Similarity (geometry) Cosine similarity Series (stratigraphy) Machine learning Time series Function (biology) Term (time) Regression Quadratic equation Pattern recognition (psychology) Data mining Mathematics Statistics

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Hydrological Forecasting Using AI

Physical Sciences → Environmental Science → Environmental Engineering

Music and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Transductive LSTM for time-series prediction: An application to weather forecasting

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