机构

• 力学研究所 [1]
• 长春光学精密机械与物... [1]
• 自动化研究所 [1]

采集方式

• OAI收割 [3]

内容类型

• 期刊论文 [2]
• 会议论文 [1]

发表日期

• 2025 [1]
• 2021 [1]
• 2009 [1]

学科主题

筛选

浏览/检索结果: 共3条，第1-3条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序 Physics-enhanced data-driven turbulence model for flow around submerged bodies 期刊论文  OAI收割 OCEAN ENGINEERING, 2025, 卷号: 315, 页码: 13 作者:  Zhang,Zhen;  Li,Haohan;  Ye SR(叶舒然);  Wang JZ(王静竹);  Wang YW(王一伟)   |  收藏  |  浏览/下载：12/0  |  提交时间：2025/01/06 Data-driven  Physical enhancement  Turbulence model  Combined neural network   A Dragonfly Optimization Algorithm for Extracting Maximum Power of Grid-Interfaced PV Systems 期刊论文  OAI收割 SUSTAINABILITY, 2021, 卷号: 13, 期号: 19, 页码: 27 作者:  Lodhi, Ehtisham;  Wang, Fei-Yue;  Xiong, Gang;  Mallah, Ghulam Ali;  Javed, Muhammad Yaqoob   |  收藏  |  浏览/下载：38/0  |  提交时间：2022/01/27 photovoltaic (PV)  partial shading  maximum power point tracking (MPPT)  dragonfly optimization algorithm (DOA)  adaptive cuckoo search optimization (ACSO)  fruit fly optimization algorithm combined with general regression neural network (FFO-GRNN)  improved particle swarm optimization (IPSO)  voltage source inverter (VSI)  total harmonic distortion (THD)   A new early stopping algorithm for improving neural network generalization (EI CONFERENCE) 会议论文  OAI收割 2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009, October 10, 2009 - October 11, 2009, Changsha, Hunan, China 作者:  Liu J.-G.;  Wu X.-X. 收藏  |  浏览/下载：24/0  |  提交时间：2013/03/25 As generalization ability of neural network was restricted by overfitting problem in the network's training. Early stopping algorithm based on fuzzy clustering was put forward to solve this problem in this paper. Subtractive clustering and Fuzzy C-Means clustering (FCM) were combined to realize optimal division of training set  validation set and test set. How to realize this algorithm in backpropagation (BP) network by utilizing neural network toolbox and fuzzy logic toolbox in MATLAB was dwelled on. Early stopping algorithm based on fuzzy clustering and other early stopping algorithms were applied in function approximation and pattern recognition problems in validation experiments. Experiments results indicate that early stopping algorithm based on fuzzy clustering has higher precision in comparison to other early stopping algorithms. Outputs of training set  validation set and test set are more accordant. 2009 IEEE.