… We introduce a deep convolutional neural network (CNN) to … for small datasets, we
introduce the transfer learning technique. … network (CNN) and Long Short Term Memory (LSTM) …

… of soil moisture prediction integrated with transfer learning. … -dimensional convolutional
neural network-long short-term … ⁃ fer learning for short-term wind speed prediction with deep …

… forecasting method based on transfer learning and Long … pres⁃ sure, relative humidity, wind
direction, wind speed) from … on precursory factors:A deep neural network approach [J]. Acta …

… short-term wind power prediction model based on deep migration of historical data. Firstly,
the deep neural network … The hidden layer is then shared by the deep migration method, and …

… Deep Transfer Learning (DTL) method for ball screw preload condition monitoring, the Generative
Adversarial Network … method ,These models are Convolutional Neural Network (CNN), …

… of LSTM (Long Short ‐ Term Memory),then the predicted value of target pollutant concentration
in the … Transfer learning for short ‐ term wind speed prediction with deep neural networks. …

… beliep networks, DBN)[3],长短时记忆(long shortterm memory, … 网络(deep convolutional
transfer learning networks, DCTLN),… (multilayer adaptive convolutional neural network, MACNN),…

… result of wind speed clustering an Elmer neural network-based wind power principal … (convolutional
neural networks,CNN)提取其关 键特征,并通过长短期记忆( long short-term memory,…

… transfer learning and long short-term memory neural network (LSTM) technology, through a
case study … impacts using a deep neural network coupled with a transfer learning approach [J…

… of transfer learning bidirectional long short memory network … a bidirectional long short-term
memory network (BA) model … mode decomposition and deep convolution neural network [J…