因此整个网络命名为:Spatiotemporal Causal Convolutional Network (ST-CausalConvNet)。网络总体的设计如下图所示。 所设计的时空因果卷积神经网络(ST-CausalConvNet)架构 可以看到,由于空气污染PM2.5的数据是由空间上多个观测站点同时观测记录构成的,因此我们自然的想到当推测某一个站点区域内未来PM2.5浓度大小时,需要...
obtaining a plurality of first values of a first parameter based on successive measurements associated with a first operation of a process step in the semiconductor manufacturing process; using a causal convolutional neural network to determine a predicted value of a second parameter based on the firs...
Improved prediction of hourly PM2.5 concentrations with a long short-term memory and spatio-temporal causal convolutional network deep learning model Improved prediction of hourly PM2.5 concentrations with a long short-term memory and spatio-temporal causal convolutional network deep learning model... Y...
The Self-Attention Causal Dilated Convolutional Neural Network (SACDCNN) is proposed to address the limitations of existing models that perform poorly on classification tasks. It designs the residual and dense blocks based on Causal Dilated Convolution based on the traditional residual and dense ...
This research proposes a novel deep learning approach named causal-temporal graphic convolutional network (CT-GCN) which aims to provide accurate predictions on tunnel boring machine's (TBM) load parameters. The causal associations among the key TBM operational parameters are detected and quantified wit...
如图3所示,该模块由超图卷积网络(hypergraph convolutional network)和超图注意力机制(hypergraph attention mechanism)构成。其中,卷积算子形成了超边(hyperedge)干涉的骨架,而注意力算子通过衡量节点对超边(hyperedge)的贡献度来增强这个骨架。 Learning interference representations 为了学习超图(hypergraph)上每个节点的干涉...
Abstract: Aiming at the wind power prediction problem, a wind power probability prediction method based on the quantile regression of a dilated causal convolutional neural network is proposed. With the developed model, the Adam stochastic gradient descent technique is utilized to solve the cavity param...
realtimecausal-inferencecausalcausal-modelstemporal-convolutional-networksstreaming-inferencerealtime-neural-network UpdatedNov 9, 2024 Python integrated-inferences/CausalQueries Star24 Bayesian inference from binary causal models stanbayescausaldagsmixedmethods ...
Novel spatio-temporal attention causal convolutional neural network for multi-site PM2.5 prediction In our study, we focus on spatio-temporal causal auto-logistic model and proposed a two-step-centered parametrization version of it. We study the existence of the joint law according to the conditiona...
We propose a residual dilated causal convolutional neural network (Res-DCCNN) with nonlinear attention for multi-step-ahead wind speed forecasting. Our model can outperform long-term short-term memory networks (LSTM), gated recurrent units (GRU), and Res-DCCNN using sliding window validation ...