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Quantum Interval Neural Network for Uncertain Structural Static Analysis
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DOI：10.1016/j.ijmecsci.2025.110646.png)
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Abstract
En 中文
• A novel Quantum Interval Neural Network (QINN) is proposed. • An Interval Latin Hypercube Sampling (ILHS) is provided for efficient sampling. • QINN's gradient is derived and used to accelerate training.
Keywords:
Quantum Interval Neural Network
Interval Latin Hypercube Sampling
gradient-based training
efficient sampling
neural network optimization
Journal
IF:
9.4
Papers:
1.0W
Citations:
4.5W
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