Artificial Intelligence
贝叶斯Mamba物理信息神经网络
Bayesian Mamba physics-informed neural networkA deep learning framework that integrates the Mamba architecture with physics-informed constraints and Bayesian inference to predict remaining useful life with uncertainty quantification / 一种结合Mamba架构、物理信息约束与贝叶斯推断的深度学习框架，用于预测剩余使用寿命并进行不确定性量化。
- Knowledge type
- 工艺技术
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-11-12 18:07:01
Sub-knowledge points
Bayesian MambaPhysics-informed neural networkUncertainty estimationRemaining useful life prediction
Higher-order knowledge points
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Main parameters and performance indicators
Mamba architecture: Sequence modeling backbonePhysics-informed constraints: Domain knowledge integrationBayesian inference: Uncertainty quantification mechanismAero-engine: Application domain
Open problems
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Related literature
ranked by community starsBayesian Mamba physics-informed neural network for aero-engine remaining useful life prediction with uncertainty estimationOpen source
Related products and links
Bayesian Mamba PINN
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1 recordsRecord title: Bayesian Mamba physics-informed neural network.
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