Convolutional long short term memory deep neural networks for image sequence prediction
作者：
Highlights：
• A three step combination of different Neural Networks for discrimination.
• The algorithm works by decomposing and remembering previously presented images.
• The training of each of the networks is separated according to each of its properties.
• The algorithm perform better at discrimination than individual methods.
• The algorithm can remember longer sequences than individual methods.
摘要
•A three step combination of different Neural Networks for discrimination.•The algorithm works by decomposing and remembering previously presented images.•The training of each of the networks is separated according to each of its properties.•The algorithm perform better at discrimination than individual methods.•The algorithm can remember longer sequences than individual methods.
论文关键词：Sequence prediction,Image classification,Long short-term neural networks,Convolutional neural networks,Deep neural networks
论文评审过程：Received 15 January 2018, Revised 7 December 2018, Accepted 29 December 2018, Available online 31 December 2018, Version of Record 7 January 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2018.12.055
