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Interval neural network for structural distributed load identification under uncertainty
DOI:10.1016/j.istruc.2026.111827.png)
摘要
En 中文
区间反向传播神经网络(IBPNN)用于分布式载荷识别的不确定性感知方法:基于模态分解和改进覆盖率宽度准则的可行性验证
Keyword:
Interval Backpropagation Neural Network
Distributed load identification
Uncertainty quantification
Basis functions
Interval prediction quality
期刊
IF:
4.3
论文数:
1.3W
被引数:
2.7W
机构
暂无机构信息
引用论文
Interval deep neural networks with damage function for credible structural identification区间深度神经网络与损伤函数在可靠结构识别中的应用
Occupancy data at different spatial resolutions: Building energy performance and model calibration不同空间分辨率下的occupancy数据:建筑能源性能与模型校准
APPLIED ENERGY
IF11
Neural Network-Based Uncertainty Quantification: A Survey of Methodologies and Applications基于神经网络的不确定性量化: 方法与应用综述
IEEE ACCESS
IF3.6

