机构

• 重庆绿色智能技术研究... [2]
• 长春光学精密机械与物... [1]
• 合肥物质科学研究院 [1]

采集方式

• OAI收割 [4]

内容类型

• 期刊论文 [3]
• 会议论文 [1]

发表日期

• 2022 [1]
• 2021 [1]
• 2020 [1]
• 2009 [1]

学科主题

筛选

浏览/检索结果: 共4条，第1-4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 Computational Neural Dynamics Model for Time-Variant Constrained Nonlinear Optimization Applied to Winner-Take-All Operation 期刊论文  OAI收割 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 卷号: 18, 期号: 9, 页码: 5936-5948 作者:  Liu, Mei;  Zhang, Xiaoyan;  Shang, Mingsheng   |  收藏  |  浏览/下载：39/0  |  提交时间：2022/08/22 Optimization  Mathematical models  Computational modeling  Neural networks  Numerical models  Informatics  Vehicle dynamics  Equality and inequality constraints  noise-suppressing discrete-time neural dynamics (NSDTND) model  time-variant nonlinear optimization   A noise-suppressing Newton-Raphson iteration algorithm for solving the time-varying Lyapunov equation and robotic tracking problems 期刊论文  OAI收割 INFORMATION SCIENCES, 2021, 卷号: 550, 页码: 239-251 作者:  Wang, Guancheng;  Huang, Haoen;  Shi, Limei;  Wang, Chuhong;  Fu, Dongyang   |  收藏  |  浏览/下载：48/0  |  提交时间：2021/03/01 Time-varying Lyapunov equation  Newton-Raphson iteration  Noise suppressing  Robotic tracking problems   半导体激光器驱动电路设计及环路噪声抑制分析 期刊论文  OAI收割 红外与激光工程, 2020, 卷号: 49 作者:  吴涛;  庞涛;  汤玉泉;  孙鹏帅;  张志荣   |  收藏  |  浏览/下载：26/0  |  提交时间：2020/10/26 semiconductor laser  noise-suppressing network  multiwaveform modulation  first-order manual analysis  Tina-TI simulation  半导体激光器  噪声抑制网络  多种波形调制  一阶人工分析  Tina-TI仿真   Algorithm of image enhancement based on order morphology transformation (EI CONFERENCE) 会议论文  OAI收割 2009 International Forum on Information Technology and Applications, IFITA 2009, May 15, 2009 - May 17, 2009, Chengdu, China 作者:  Liu Y.;  Liu Y.;  Liu Y. 收藏  |  浏览/下载：14/0  |  提交时间：2013/03/25 A method based Tsallis entropy and order morphology transform for gray image enhancement is proposed in this article. The order morphology transform method improves the evaluation guide of transform  and chose the percentile value and structure B value by the Maximum Tsallis entropy of the area where the coefficient q is 0.8  enhances the gray image. Experiments show that the method enhances the image contrast and suppressing noise and extracting edge. The histogram and gray value show that the image contrast is improved. 2009 IEEE.