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Keywords: principal component analysis
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Proceedings Papers

A Novel Machine Learning Based Framework for the Seismic Risk Assessment of Industrial Plant

Gianluca Quinci, Fabrizio Paolacci
Proc. ASME. PVP2023, Volume 7: Seismic Engineering; ASME Nondestructive Evaluation, Diagnosis and Prognosis (NDPD) Division, V007T08A010, July 16–21, 2023
Publisher: American Society of Mechanical Engineers
Paper No: PVP2023-106452
https://doi.org/10.1115/PVP2023-106452
... in the same framework. In this respect, a comprehensive sensitivity analysis of the ANN input parameters is performed (features selection), identifying the type and number of Intensity Measures (IMs) that represent the seismic input best related to the structural output, using Principal Component Analysis...
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Topics: Artificial neural networks, Cities, Industrial plants, Machine learning, Principal component analysis, Seismic hazard assessment, Risk assessment, Finite element model, Hazards, Algorithms
Proceedings Papers

A Hybrid PSO-BPNN Model Approach for Crude Oil Pipeline Electrical Energy Consumption Forecasting

Lei Xu, Lei Hou, Yu Li, Zhenyu Zhu, Jiaquan Liu, Ting Lei
Proc. ASME. PVP2020, Volume 8: Operations, Applications, and Components, V008T08A025, August 3, 2020
Publisher: American Society of Mechanical Engineers
Paper No: PVP2020-21227
https://doi.org/10.1115/PVP2020-21227
... propagation neural network is integrated with particle swarm optimization to find optimal network weight. In this research, an effective technique called principal component analysis is applied to eliminate redundant noise and extract the primary characteristics of transportation data. The stratified sampling...
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Topics: Artificial neural networks, Crude oil, Energy consumption, Particle swarm optimization, Pipelines, Principal component analysis