中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共4条，第1-4条

帮助

条数/页：排序方式：
	Online Adaptive Dynamic Programming for Optimal Self-Learning Control of VTOL Aircraft Systems With Disturbances 期刊论文 OAI收割 IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2024, 卷号: 21, 期号: 1, 页码: 343-352 作者: Wei, Qinglai; Yang, Zesheng; Su, Huaizhong; Wang, Lijian \| 收藏 \| 浏览/下载：18/0 \| 提交时间：2024/07/03 Adaptive dynamic programming (ADP) VTOL aircraft system policy iteration neural network (NN) optimal control iterative errors
	Nested relation extraction with iterative neural network 期刊论文 OAI收割 FRONTIERS OF COMPUTER SCIENCE, 2021, 卷号: 15, 期号: 3, 页码: 14 作者: Cao, Yixuan; Chen, Dian; Xu, Zhengqi; Li, Hongwei; Luo, Ping \| 收藏 \| 浏览/下载：37/0 \| 提交时间：2021/12/01 nested relation extraction mention insensitive relation iterative neural network
	A MLP-PNN neural network for CCD image super-resolution in wavelet packet domain (EI CONFERENCE) 会议论文 OAI收割 2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008, October 12, 2008 - October 14, 2008, Dalian, China Zhao X.; Fu D.; Zhai L. 收藏 \| 浏览/下载：68/0 \| 提交时间：2013/03/25 Image super-resolution methods process an input image sequence of a scene to obtain a still image with increased resolution. Classical approaches to this problem involve complex iterative minimization procedures typically with high computational costs. In this paper is proposed a novel algorithm for super-resolution that enables a substantial decrease in computer load. First decompose and reconstruct the image by wavelet packet. Before constructing the image use neural network in place of other rebuilding method to reconstruct the coefficients in the wavelet packet domain. Second probabilistic neural network architecture is used to perform a scattered-point interpolation of the image sequence data in the wavelet packet domain. The network kernel function is optimally determined for this problem by a MLP-PNN (Multi Layer Perceptron - Probabilistic Neural Network) trained on synthetic data. Network parameters dependent on the sequence noise level. This super-sampled image is spatially Altered to correct finite pixel size effects to yield the final high-resolution estimate. This method can decrease the calculation cost and get perfect PSNR. Results are presented showing the quality of the proposed method. 2008 IEEE.
	输出PDF建模与控制及其在火焰温度场中的应用学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2007 作者: 孙绪彬收藏 \| 浏览/下载：45/0 \| 提交时间：2015/09/02 锅炉温度场重建输出概率密度函数控制射流火焰迭代学习控制 RBF网络预测控制广义系统 Boiler temperature restructure output PDF control jet flame iterative learning control RBF neural network predictive control singular systems