The results demonstrated that the CNN-LSTM hybrid model exhibited much higher accuracy, reaching 94.8%, as compared to CNN and LSTM. Interestingly, the results also revealed that predetermined features, including the time, frequency, and time-frequency domains, could significantly improve the ...
Multi‑step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network‑Long Short‑Term Memory (CNN‑LSTM) model enhanced by Boruta‑XGBoost feature selection algorithm 方法:论文使用现代深度学习技术开发了一个基于CNN-LSTM框架的预测模型,用于预测河流中的电...
Multi‑step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network‑Long Short‑Term Memory (CNN‑LSTM) model enhanced by Boruta‑XGBoost feature selection algorithm 方法:论文使用现代深度学习技术开发了一个基于CNN-LSTM框架的预测模型,用于预测河流中的电...
关键词 虚拟现实 人机交互 动态手势识别 卷积神经网络 长短期记忆网络 混合模型中图分类号 TP39 文献标志码 A DOI:10. 3969/j. issn. 1000-386x. 2021. 11. 032DYNAMIC GESTURE RECOGNITION METHOD BASED ON CNN-LSTM HYBRID MODELGu Xuejing 1,2 Zhou Zipeng 1,2 Guo Yucheng 2 Li Xiaogang 31 (School...
two hybrid models were proposed (CNN-LSTM and ConvLSTM) to effectively predict the power production of a self-consumption PV plant. To confirm the efficiency of the proposed models, the LSTM model was used as a baseline for comparison. The three models were trained on two datasets, a univaria...
情感分析的话,虽然最初是用RNN取得的突破,但目前CNN的效果就很好,LSTM做的话也是可以做到接近的程度...
a hybrid model of CNN-LSTM network combined with attention mechanism is proposed for bipolar depression detection. The method firstly uses the Resnet50 model fine-tuned on the facial expression dataset to extract the spatial features of video frames, and secondly uses the LSTM network combined with...
deep-learning mlp cnn-model lstm-neural-networks cnn-lstm-models Updated Jan 28, 2023 Jupyter Notebook aaaastark / hybrid-model-with-cnn-lstm-python Star 2 Code Issues Pull requests Hybrid Model with CNN and LSTM for VMD dataset using Python python data-science machine-learning deep-le...
因此,CNN-LSTM(实际上从大类划分是 CNN-RNN)属于深度学习的一种早期的模型融合(Hybrid)探索。更...
A smart waste classifcation model using hybrid CNN‑LSTM with transfer learning for sustainable environment 方法:研究中提出了一种结合了CNN和LSTM的混合模型,并使用了迁移学习方法来提高垃圾分类的准确性和效率,通过在Kaggle废物数据集上的实验验证其在可回收和有机废物分类中的高效性,取得了95.45%的精确度,显...