CNN-LSTM-Attention模型正在向多模态数据融合方向发展,以充分利用不同类型数据之间的互补性,提高预测性能。 轻量化与加速:为了降低模型在部署和运行时的计算成本,研究者们正在致力于开发轻量化的CNN-LSTM-Attention模型。通过剪枝、量化等技术,可以在不牺牲太多性能的前提下,减少模型的参数量和计算量。 可解释性增强...
LSTM RNN在时间尺度长的延展非常的有限,不能有效查询较长一段时间内的信息,所以LSTM(长短期记忆网络,Long Short-Term Memory)诞生了,这是一个非常有趣的网络,我曾经为它的二维图像发愁的不得了,现在总算弄明白一些了,说白了,就如人的记忆力一样,我们需要不断地忘记,再不断地记忆,很有意思哎! LSTM的...
D) We proposed a CNN-LSTM-att model to classify and evaluate the growth status of seedlings under drought and heat stress, which provides a useful tool for stress phenotyping on a large number of germplasms in Chinese fir.Materials and methods Plant materials and stress treatment To create th...
使用rnn,lstm,gru,fasttext,textcnn,dpcnn,rnn-att,lstm-att,兼容huggleface/transformers,以及以transforemrs作为词嵌入模型,后面接入cnn、rnn、attention等等做文本分类。以及各个模型的对比 - Lizhen0628/text_classification
CNN-LSTM-ATT航班延误预测对提高机场地面保障效率具有重要参考意义.针对目前航班地面保障流程复杂多变以及航班过站延误预测精度不高的问题,提出了一种基于Petri Net和融合预测模型CNN-LSTM-ATT的航班延误预测模型.首先,根据机场航班实际地面保障流程抽象构建离港航班地面保障作业Petri Net模型,获取保障流程中的关键作业时长...
BERT Text Classification Framework: Implements 7 BERT variants (including BERTATT/BERTLSTM/BERTCNN) with PyTorch and Transformers./BERT文本分类框架:基于PyTorch和Transformers实现7种BERT变体模型(含BERTATT/BERTLSTM/BERTCNN等) Resources Readme Activity Stars 1 star Watchers 2 watching Forks 0 forks...
Prosumers make decisions on the basis of their own characteristics and estimates of other prosumer characteristics, which are obtained from the joint probability distribution predicted by the CNN-LSTM-ATT method. These decisions are aimed at minimizing each prosumer's electricity costs. The simulation ...
Firstly, we use word embedding to vectorize the input text, extract the local features of the text through multi-channel CNN, and then integrate the full text semantics; make full use of the advantages of GRU and LSTM, and design a GRU-LSTM tandem network model to increase the effective ...
Results In this study, we proposed a CNN-LSTM-att hybrid model for classification of growth status of Chinese fir seedlings under drought and heat stress, respectively. Two RGB image datasets of Chinese fir seedling under drought and heat stress were generated for the first time, and ...
使用rnn,lstm,gru,fasttext,textcnn,dpcnn,rnn-att,lstm-att,bert,bert-cnn,bert-rnn,bert-rcnn,han,xlnet等等做文本分类,以及对比 - niushixiong/text_classification