longshort-termmemory相关论文
针对综合能源系统中多种复杂的能量耦合关系和负荷预测误差的变化,提出了一种基于长短时记忆网络(LSTM)和多元负荷预测误差的动态......
Deep learning has recently been progressively introduced into the field of modulation classification due to its wide app......
This paper presents a character-level encoder-decoder mod-eling method for question answering(QA)from large-scale knowle......
提出了一种基于融合i-vector特征的长短时记忆(LSTM)循环神经网络模型,用于腹腔镜扶持器语音控制,在小训练样本下实现对特定医生语......
Adaptability of machine learning methods and hydrological models to discharge simulations in data-sp
The accurate simulation and prediction of runoff in alpine glaciated watersheds is of increasing importance for the comp......
