scientific instrumentation
卷积一维-门控循环单元模型
Conv1D-GRU modelA hybrid deep learning architecture combining Convolutional Neural Networks (Conv1D) with Gated Recurrent Units (GRU) for time-series data processing. / 一种结合卷积神经网络（Conv1D）与门控循环单元（GRU）的混合深度学习架构，用于处理时间序列数据。
- Knowledge type
- 工艺技术
- First proposed or discovered
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- Turkey Farm member
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- 农场主
- Last updated
- 2026-11-07 20:05:53
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Main parameters and performance indicators
Conv1D: Convolutional neural network layer for feature extractionGRU: Gated Recurrent Unit layer for sequence modelingSpectral Augmentation: Data augmentation technique applied to spectral inputs
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Related literature
ranked by community starsA hybrid Conv1D-GRU model with spectral augmentation for non-destructive rice seed vigor detectionOpen source
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1 recordsRecord title: Conv1D-GRU model.
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