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浏览/检索结果: 共163条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 A rapid interpretation RBF-NSGA-II framework for multi-mechanical parameters from impact penetration technique 期刊论文  OAI收割 COMPUTERS AND GEOTECHNICS, 2025, 卷号: 185, 页码: 15 作者:  Li YQ(李玉琼);  Ying LP(应黎坪);  Lv ZY(吕志远);  Li N(李娜);  Yuan Z(袁征)   |  收藏  |  浏览/下载：20/0  |  提交时间：2025/08/18 Soil  Parameter interpretation  RBF neural network  NSGA-II optimization  Impact penetration   Location optimization of unmanned aerial vehicle (UAV) drone port for coastal zone management: The case of Guangdong coastal zone in China 期刊论文  OAI收割 OCEAN & COASTAL MANAGEMENT, 2025, 卷号: 262, 页码: 18 作者:  Sun, Jia;  Shu, Sijing;  Hu, Hongda;  Deng, Yingbin;  Li, Zhao   |  收藏  |  浏览/下载：64/0  |  提交时间：2025/04/03 Coastal UAV network  UAV remote sensing  Drone port location optimization   Spatially explicit priority optimization of land ecosystem services in the ecologically fragile region 期刊论文  OAI收割 LAND USE POLICY, 2024, 卷号: 147, 页码: 107356 作者:  Liu, Yu;  Liu, Zhengjia;  Zhang, Xun;  Zhang, Bin;  Shi, Jinlian   |  收藏  |  浏览/下载：62/0  |  提交时间：2024/10/21 Ecologically fragile region  Spatially explicit priority optimization  Bayesian belief network  Ecosystem services  Sustainable land use   Optimization of ecological network to improve water conservation services in the Nianchu River Basin 期刊论文  OAI收割 JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2024, 卷号: 372, 页码: 15 作者:  Long, Qianqian;  Gao, Xiaoyuan;  Hu, Yi;  Hu, Yang;  Wang, Ziwei   |  收藏  |  浏览/下载：34/0  |  提交时间：2024/12/23 Water conservation services  Ecological network  Complex network theory  Circuit theory  Landscape optimization   Geometry prediction and design for energy storage salt caverns using artificial neural network 期刊论文  OAI收割 ENERGY, 2024, 卷号: 308, 页码: 13 作者:  Wang, Zhuoteng;  Chen, Jiasong;  Wang, Guijiu;  Li, Jinlong;  Li, Shuangjin   |  收藏  |  浏览/下载：23/0  |  提交时间：2025/06/27 Hydrogen storage  Natural gas storage  Salt cavern  Construction design  Parameter optimization  Artificial neural network   Operation optimization of cement clinker production line based on neural network and genetic algorithm 期刊论文  OAI收割 ENERGY, 2024, 卷号: 303, 页码: 10 作者:  Pan, Lisheng;  Guo, Yuan;  Mu, Bai;  Shi, Weixiu;  Wei, Xiaolin   |  收藏  |  浏览/下载：47/0  |  提交时间：2024/07/26 Cement kiln  Cement clinker production  Operation optimization  Back -propagation (BP) neural network  Genetic algorithm (GA)   Research on bearing fault diagnosis based on improved genetic algorithm and BP neural network 期刊论文  OAI收割 SCIENTIFIC REPORTS, 2024, 卷号: 14, 期号: 1, 页码: 19 作者:  Chen, Zenghua;  Zhu, Lingjian;  Lu, He;  Chen, Shichao;  Zhu, Fenghua   |  收藏  |  浏览/下载：81/0  |  提交时间：2024/09/09 Rolling bearings  Fault diagnosis  Genetic algorithm  BP neural network  Optimization   Design and Modeling of an Integral Molding Flexible Tail for Robotic Fish 期刊论文  OAI收割 IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2024, 页码: 11 作者:  Tong, Ru;  Wu, Zhengxing;  Li, Sijie;  Chen, Di;  Wang, Jian   |  收藏  |  浏览/下载：65/0  |  提交时间：2024/07/22 Data-driven modeling  flexibility optimization  integral molding flexible tail  predictive network  robotic fish  underwater robot   An Automatic Neural Network Architecture-and-Quantization Joint Optimization Framework for Efficient Model Inference 期刊论文  OAI收割 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 5, 页码: 1497-1510 作者:  Liu, Lian;  Wang, Ying;  Zhao, Xiandong;  Chen, Weiwei;  Li, Huawei   |  收藏  |  浏览/下载：31/0  |  提交时间：2024/12/06 Optimization  Quantization (signal)  Computer architecture  Training  Computational modeling  Integrated circuit modeling  Convergence  Automatic joint optimization  efficient model inference  network quantization  neural architecture search (NAS)   Ensemble Quadratic Assignment Network for Graph Matching 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF COMPUTER VISION, 2024, 页码: 23 作者:  Tan, Haoru;  Wang, Chuang;  Wu, Sitong;  Zhang, Xu-Yao;  Yin, Fei   |  收藏  |  浏览/下载：82/0  |  提交时间：2024/07/03 Graph matching  Combinatorial optimization  Graph neural network  Ensemble learning