中国科学院机构知识库网格系统: 检索

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	Deformation Analysis and Prediction of a High-Speed Railway Suspension Bridge under Multi-Load Coupling 期刊论文 OAI收割 REMOTE SENSING, 2024, 卷号: 16, 期号: 10, 页码: 22 作者: Liu, Simin; Jiang, Weiping; Chen, Qusen; Wang, Jian; Tan, Xuyan \| 收藏 \| 浏览/下载：8/0 \| 提交时间：2025/06/27 deformation prediction high-speed railway suspension bridge GNSS BP neural network multi-load coupling influencing factor
	An Integrated Multi-Factor Coupling Approach for Marine Dynamic Disaster Assessment in China's Coastal Waters 期刊论文 OAI收割 REMOTE SENSING, 2023, 卷号: 15, 期号: 3, 页码: 838 作者: Zhou, Lin; Sun, Meng; Liu, Yueming; Yang, Yongzeng; Su, Tianyun \| 收藏 \| 浏览/下载：32/0 \| 提交时间：2024/01/04 marine dynamic disaster assessment multi-factor coupling weighted index indicator system method Landsat 8
	An Integrated Multi-Factor Coupling Approach for Marine Dynamic Disaster Assessment in China's Coastal Waters 期刊论文 OAI收割 REMOTE SENSING, 2023, 卷号: 15, 期号: 3, 页码: 838 作者: Zhou, Lin; Sun, Meng; Liu, Yueming; Yang, Yongzeng; Su, Tianyun \| 收藏 \| 浏览/下载：33/0 \| 提交时间：2024/01/04 marine dynamic disaster assessment multi-factor coupling weighted index indicator system method Landsat 8
	An Integrated Multi-Factor Coupling Approach for Marine Dynamic Disaster Assessment in China's Coastal Waters 期刊论文 OAI收割 REMOTE SENSING, 2023, 卷号: 15, 期号: 3, 页码: 838 作者: Zhou, Lin; Sun, Meng; Liu, Yueming; Yang, Yongzeng; Su, Tianyun \| 收藏 \| 浏览/下载：29/0 \| 提交时间：2024/01/04 marine dynamic disaster assessment multi-factor coupling weighted index indicator system method Landsat 8
	Integrated optimization method for coupling parametrization design of complex space system (EI CONFERENCE) 会议论文 OAI收割 2012 3rd International Conference on System Science, Engineering Design and Manufacturing Informatization, ICSEM 2012, October 20, 2012 - October 21, 2012, Chengdu, China 作者: Han C.-S.; Wen M. 收藏 \| 浏览/下载：145/0 \| 提交时间：2013/03/25 This paper investigates the problem of optimization method for coupling parametrization design of complex space system. The objective is to develop an integrated optimization framework to design complex space system. An improved collaborative optimization (ICO) strategy for complex design using hybrid optimization algorithm is proposed which associates genetic algorithm (GA) with tabu search (TS). A multi-objective function with penalty terms for the systemlevel optimization and a relax factor for the subsystem optimization are adopted which can avoid unsolvability or converging difficulty. The results demonstrate the applicability and effectiveness of the proposed design methodology. 2012 IEEE.