中国科学院机构知识库网格系统: 检索

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	Analysis, design, and testing of mechanical switch for the backup protection of switching network unit in fusion device 期刊论文 OAI收割 FUSION ENGINEERING AND DESIGN, 2024, 卷号: 208 作者: Xu, Qianglin; Song, Zhiquan; Li, Hua; Xu, Meng \| 收藏 \| 浏览/下载：6/0 \| 提交时间：2024/11/20 Switching network unit Backup protection Mechanical switch Optimized contact structure Fusion device
	A multidimensional analysis of self-esteem and individualism: A deep learning-based model for predicting elementary school students' academic performance 期刊论文 OAI收割 Measurement: Sensors, 2024, 卷号: 33 作者: Deng, Jielin; Huang, Xiaohua; Ren, Xiaopeng \| 收藏 \| 浏览/下载：101/0 \| 提交时间：2024/05/27 Elementary school Owl search optimized dynamic deep neural network (OSO-DDNN) Owl search optimized dynamic deep neural network (OSO-DDNN) Self-esteem Individualism Academic performance
	A novel defect based fatigue damage model coupled with an optimized neural network for high cycle fatigue analysis of casting alloys with surface defect 期刊论文 OAI收割 INTERNATIONAL JOURNAL OF FATIGUE, 2023, 卷号: 170, 页码: 107538 作者: Gao, Tongzhou; Ji, Chenhao; Zhan, Zhixin; Huang, Yingying; Liu CQ(刘传奇) \| 收藏 \| 浏览/下载：46/0 \| 提交时间：2023/04/20 High cycle fatigue Casting alloys Surface defect Damage model Optimized neural network
	A Novel Parameter-Optimized Recurrent Attention Network for Pipeline Leakage Detection 期刊论文 OAI收割 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 4, 页码: 1064-1076 作者: Tong Sun; Chuang Wang; Hongli Dong; Yina Zhou; Chuang Guan \| 收藏 \| 浏览/下载：22/0 \| 提交时间：2023/03/22 Anomaly-attention mechanism (AM) long short-term memory (LSTM) parameter-optimized recurrent attention network (PRAN) particle swarm optimization (PSO) pipeline leakage detection (PLD)
	Optimization of causative factors using logistic regression and artificial neural network models for landslide susceptibility assessment in Ujung Loe Watershed, South Sulawesi Indonesia 期刊论文 OAI收割 JOURNAL OF MOUNTAIN SCIENCE, 2019, 卷号: 16, 期号: 2, 页码: 383-401 作者: Soma, Andang Suryana; Kubota, Tetsuya; Mizuno, Hideaki \| 收藏 \| 浏览/下载：14/0 \| 提交时间：2020/11/02 Optimized causative factor Landslide Logistic Regression Artificial neural network Indonesia Notation
	Assessing methods of identifying open water bodies using Landsat 8 OLI imagery SCI/SSCI论文 OAI收割 2016 作者: Liu Z. F.; Yao, Z. J.; Wang, R. \| 收藏 \| 浏览/下载：23/0 \| 提交时间：2017/11/09 Remote sensing imagery Normalized difference water index (NDWI) Water body extraction Optimized threshold Tibetan plateau Spectral reflectance remotely-sensed imagery thematic mapper neural-network time-series index ndwi tm data classification lake delineation features
	Enhancing synchronizability by rewiring networks 期刊论文 OAI收割 CHINESE PHYSICS B, 2010, 卷号: 19, 期号: 8 作者: Wang LiFu; Wang QingLi; Kong Zhi; Jing YuanWei \| 收藏 \| 浏览/下载：18/0 \| 提交时间：2021/02/02 COMPLEX NETWORKS DYNAMICAL NETWORKS STABILITY SYSTEMS synchronizability rewire networks complex networks optimized network network structural property
	Enhancing synchronizability by rewiring networks 期刊论文 OAI收割 CHINESE PHYSICS B, 2010, 卷号: 19, 期号: 8 作者: Wang LiFu; Wang QingLi; Kong Zhi; Jing YuanWei \| 收藏 \| 浏览/下载：12/0 \| 提交时间：2021/02/02 COMPLEX NETWORKS DYNAMICAL NETWORKS STABILITY SYSTEMS synchronizability rewire networks complex networks optimized network network structural property
	Study on color model conversion for camera with neural network based on the combination between second general revolving combination design and genetic algorithm (EI CONFERENCE) 会议论文 OAI收割 ICO20: Illumination, Radiation, and Color Technologies, August 21, 2005 - August 26, 2005, Changchun, China 作者: Li Z.; Zhou F.; Wang C.; Li Z. 收藏 \| 浏览/下载：36/0 \| 提交时间：2013/03/25 Munsell color system is selected to establish the mutual conversion between RGB and Lab* color model for camera. The color luminance meter and CCD camera synchronously measure the same color card XYZ value is gotten from the color luminance meter the training error is 0.000748566 it can show that the method combining second general revolving combination design with genetic algorithm can optimize the hidden-layer structure of neural network. Using the data of testing set to test this network and calculating the color difference between forecast value and true value the color picture captured from CCD camera is expressed for RGB value as the input of neural network and the Lab* value converted from XYZ value is regarded as the real color value of target card which the difference is not obvious comparing with forecast result the maximum is 5.6357 NBS namely the output of neural network. The neural network of two hidden-layers is considered the minimum is 0.5311 NBS so the second general revolving combination design is introduced into optimizing the structure of neural network and the average of color difference is 3.1744 NBS. which can carry optimization through unifying project design data processing and the precision of regression equation. Their mathematics model of encoding space is gained and the significance inspection shows the confidence degree of regression equation is 99%. The mathematics model is optimized by genetic algorithm optimization solution is gotten and function value of the goal is 0.0007168. The neural network of the optimization solution is trained