Artificial Intelligence
时序卷积网络
Temporal Convolutional NetworkA deep learning architecture designed to process sequential data by applying dilated convolutions to capture temporal dependencies at multiple scales. / 一种深度学习架构，旨在通过应用膨胀卷积来捕获多尺度的时序依赖关系。
- Knowledge type
- 数学理论
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-10-28 18:02:46
Sub-knowledge points
Dilated ConvolutionScale-adaptive modeling
Higher-order knowledge points
Main parameters and performance indicators
kernel size: determines the receptive field sizedilation rate: controls the spacing between kernel points
Open problems
No unresolved problem recorded yet
Related literature
ranked by community starsHybrid modeling of greenhouse tomato growth using a scale-adaptive temporal convolutional networkOpen source
Related products and links
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Creation and modification trail
1 recordsRecord title: Temporal Convolutional Network.
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