Bayesian Neural Network-Based Equipment Operational Trend Prediction Method Using Channel Attention Mechanism

Bayesian Neural Network-Based Equipment Operational Trend Prediction Method Using Channel Attention Mechanism

This paper proposes a Bayesian neural network method for predicting equipment operational trends based on a channel attention mechanism. Traditional time series prediction methods have limitations in handling complex data and nonlinear relationships. To enhance prediction accuracy and stability, the...

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Bibliographic Details
Main Authors: Chang Ming-Yu, Tian Le, Maozu Guo
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Equipment operational trend prediction
neural networks
Bayesian neural networks
attention mechanism
Online Access:https://ieeexplore.ieee.org/document/10440339/

Internet

https://ieeexplore.ieee.org/document/10440339/

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