机构

• 数学与系统科学研究院 [5]
• 长春光学精密机械与物... [1]
• 生态环境研究中心 [1]

采集方式

• OAI收割 [7]

内容类型

• 期刊论文 [6]
• 会议论文 [1]

发表日期

• 2021 [2]
• 2019 [2]
• 2018 [1]
• 2017 [1]
• 2006 [1]

学科主题

筛选

浏览/检索结果: 共7条，第1-7条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Input-Feedforward-Passivity-Based Distributed Optimization Over Jointly Connected Balanced Digraphs 期刊论文  OAI收割 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2021, 卷号: 66, 期号: 9, 页码: 4117-4131 作者:  Li, Mengmou;  Chesi, Graziano;  Hong, Yiguang   |  收藏  |  浏览/下载：22/0  |  提交时间：2022/04/02 Topology  Distributed algorithms  Optimization  Feedforward systems  Output feedback  Convergence  Couplings  Continuous-time algorithms  derivative feedback  input feedforward passivity  uniformly jointly strongly connected (UJSC) topologies  weight-balanced digraphs   Max-Min Fairness in IRS-Aided Multi-Cell MISO Systems With Joint Transmit and Reflective Beamforming 期刊论文  OAI收割 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2021, 卷号: 20, 期号: 2, 页码: 1379-1393 作者:  Xie, Hailiang;  Xu, Jie;  Liu, Ya-Feng   |  收藏  |  浏览/下载：62/0  |  提交时间：2021/04/26 Array signal processing  MISO communication  Optimization  Wireless communication  Signal to noise ratio  Interference  Computational complexity  Intelligent reflecting surface (IRS)  multi-cell systems  multiple-input single-output (MISO)  coordinated transmit beamforming  reflective beamforming  optimization   What should be the future industrial structure of the Beijing-Tianjin-Hebei city region under water resource constraint? An inter-city input-output analysis 期刊论文  OAI收割 JOURNAL OF CLEANER PRODUCTION, 2019, 卷号: 239, 页码: 14 作者:  Li, Yuanjie;  Zhang, Zhuoying;  Shi, Minjun   |  收藏  |  浏览/下载：92/0  |  提交时间：2020/01/10 Sustainable development  Inter-city input-output analysis  Water resource constraint  Optimization model  Industrial structure  Beijing-Tianjin-Hebei city region   Restrictive Effects of Water Scarcity on Urban Economic Development in the Beijing-Tianjin-Hebei City Region 期刊论文  OAI收割 SUSTAINABILITY, 2019, 卷号: 11, 期号: 8, 页码: 23 作者:  Li, Yuanjie;  Zhang, Zhuoying;  Shi, Minjun   |  收藏  |  浏览/下载：54/0  |  提交时间：2020/01/10 water scarcity  shadow price  input-output optimization model  potential economic loss  restrictive effect  BTH city region   Urban transformation optimization model: How to evaluate industrial structure under water resource constraints? 期刊论文  OAI收割 JOURNAL OF CLEANER PRODUCTION, 2018, 卷号: 195, 页码: 1497-1504 作者:  Zhang, Zhuoying;  Zhang, Xiaoling;  Shi, Minjun   |  收藏  |  浏览/下载：36/0  |  提交时间：2018/09/08 Urban transformation  Sustainable development  Industrial structure  Water resources  Input-output optimization  Beijing   Socioeconomic impact assessment of China's CO2 emissions peak prior to 2030 期刊论文  OAI收割 JOURNAL OF CLEANER PRODUCTION, 2017, 卷号: 142, 期号: 9, 页码: 2227-2236 作者:  Liu, Jingru;  Mi, Zhifu;  Wei, Yi-Ming;  Wang, Bing;  Meng, Jing   |  收藏  |  浏览/下载：19/0  |  提交时间：2018/07/20 Carbon Emissions  Peak  Input-output  Optimization Model  Integrated Assessment Model  China   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 L*a*b* 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 L*a*b* 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