Time Series Forecasting and Classification Models Based on Recurrent with Attention Mechanism and Generative Adversarial Networks

Time series classification and forecasting have long been studied with the traditional statistical methods. Recently, deep learning achieved remarkable successes in areas such as image, text, video, audio processing, etc. However, research studies conducted with deep neural networks in these fields...

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Autors principals:	Kun Zhou, Wenyong Wang, Teng Hu, Kai Deng
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2020-12-01
Col·lecció:	Sensors
Matèries:	time series forecasting time series classification long short-term memory attention mechanism generative adversarial network
Accés en línia:	https://www.mdpi.com/1424-8220/20/24/7211
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