Recently, complex valued models are proposed like deep complex convolution recurrent network (DCCRN). The computation of the model is very huge. So a Deep Cosine transform convolutional Gated recurrent Unit (DCTCGRU) is proposed to reduce the complexity and improve further p...
Full size image In this paper, we propose a model combining multi-scale CNN and GRU named Multi-scale Convolutional Gated Recurrent Unit Network (MCGRU) to predict cutting tool wear. In this model, the multi-scale CNN consists of six parallel branches, and they are independent of each other...
根据搜索结果,TCN(Temporal Convolutional Network,时间卷积网络)确实可以与GRU(Gated Recurrent Unit,门控循环单元)结合使用。存在一些研究和应用案例,其中TCN和GRU被集成在同一个模型中以提高性能。以下是一些具体的实例: 1. **A novel GRU-TCN network based Interactive Behavior Learning of multi-energy Microgrid...
3 Commits LICENSE.txt init Nov 23, 2017 README.md readme fx Nov 25, 2017 convgru.py init Nov 23, 2017 README MIT license These modules implement an individualConvGRUCelland the corresponding multi-cellConvGRUwrapper inPyTorch. The ConvGRU is implemented as described inBallaset. al.2015: ...
Brockschmidt, Richard Zemel, Gated Graph Sequence Neural Networks, ICLR 2016 (Gated Recurrent Unit)...
Multi-Scale Convolutional Gated Recurrent Unit Networks for Tool Wear Prediction in Smart Manufacturing As an integrated application of modern information technologies and artificial intelligence, Prognostic and Health Management (PHM) is important for machin... W Xu,H Miao,Z Zhao,... - 《Chinese Jo...
Causal convolutional gated recurrent unit network with multiple decomposition methods for short-term wind speed forecasting Energy Conversion and Management Volume 226,15 December 2020, Page 113500 Purchase options CorporateFor R&D professionals working in corporate organizations. ...
GCG: Graph Convolutional network and gated recurrent unit method for high-speed train axle temperature forecasting 来自 dx.doi.org 喜欢 0 阅读量: 346 作者:J Man,H Dong,X Yang,Z Meng,G Xin 摘要: Nowadays, with the growing scale of high-speed railways and the increasing number of high-...
Overall, the temporal block with the Gated Recurrent Unit (GRU) achieves the best accuracy, while using GRU and Legendre Memory Units (LMU) together also gives a similar accuracy to the best model but with less trainable parameters. We discuss the aspect of trainable parameters for each model ...
因果卷积(causal)与扩展卷积(dilated)之AnEmpiricalEvaluationofGenericConvolutionalandRecurrentNetworks...ConvolutionalandRecurrentNetworksforSequenceModeling“,讲到了:虽然人们现在都在用RNN和LSTm去处理序列问题 Gated Recurrent Unit (GRU) EvaluationofGatedRecurrentNeuralNetworksonSequenceModeling2. Learned-norm poolingfor...