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Updated: Jul 27, 2025

A Rapid Method for Modeling a Variable Cycle Engine
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Published on: August 13, 2019

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通过混合深度学习方法对离岸平台进行概率实时天然气喷气式火灾后果建模

Weikang Xie1, Junjie Li2, Jihao Shi1

  • 1Department of Building Environment and Energy Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong; Centre for Offshore Engineering and Safety Technology, China University of Petroleum, Qingdao, China.

Marine pollution bulletin
|June 9, 2023
PubMed
概括

这项研究引入了一种概率深度学习模型,用于预测海上平台上的天然气喷气火灾. 它提供更可靠的实时预测和不确定性量化,以提高应急响应.

关键词:
深度学习是一种深度学习.数字双胞胎 数字双胞胎 数字双胞胎离岸平台是一个离岸平台.实时喷气式火灾模拟实时喷气式火灾模型变化的贝叶斯推理推理.

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