scientific instrumentation
CNN-LSTM-Attention混合模型
CNN-LSTM-Attention hybrid modelA deep learning architecture combining Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM), and Attention mechanisms for acoustic-based gas pipeline leak detection / 一种结合卷积神经网络（CNN）、长短期记忆网络（LSTM）和注意力机制的深度学习架构，用于基于声学的天然气管道泄漏检测。
- Knowledge type
- 工艺技术
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-11-05 22:06:00
Sub-knowledge points
Acoustic signal processingPipeline leak detectionHybrid deep learning architecture
Higher-order knowledge points
No connected node yet
Main parameters and performance indicators
CNN: Feature extraction from acoustic signalsLSTM: Temporal sequence modelingAttention: Weighting significant acoustic features
Open problems
No unresolved problem recorded yet
Related literature
ranked by community starsA CNN-LSTM-Attention hybrid model for acoustic-based gas pipeline leak detectionOpen source
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1 recordsRecord title: CNN-LSTM-Attention hybrid model.
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