机构

• 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 [2]

内容类型

• 会议论文 [1]
• 期刊论文 [1]

发表日期

• 2019 [1]
• 2006 [1]

学科主题

筛选

浏览/检索结果: 共2条，第1-2条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 Iterative Relaxed Collaborative Representation With Adaptive Weights Learning for Noise Robust Face Hallucination 期刊论文  OAI收割 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2019, 卷号: 29, 期号: 5, 页码: 1284-1295 作者:  Liu, Licheng;  Li, Shutao;  Chen, C. L. Philip   |  收藏  |  浏览/下载：76/0  |  提交时间：2019/07/12 Relaxed collaborative representation  face hallucination  locality regularization  adaptively weights learning  noise robust coding   An improved adaptive neural network method for control system (EI CONFERENCE) 会议论文  OAI收割 2006 International Conference on Machine Learning and Cybernetics, August 13, 2006 - August 16, 2006, Dalian, China Wang L.-M.; Xie M.-J.; Wu D.-Y. 收藏  |  浏览/下载：32/0  |  提交时间：2013/03/25 Classical methods for designing a controller depend on the accuracy of system model. However  plant's models and other parts in a physical system can not accurately represent all possible dynamics. Thus the controller designed is usually not the optimal one. In this article  a new  simple adaptive control method  which combines the classical frequency domain method with the neural network theory  is proposed. Firstly  we can obtain a controller using classical method. Secondly we use the coefficients in digitized controller equation as the initial values of an Adaline network. Finally  LMS learning rules is used to adjust the weights adaptively. Experimental results show that this method is very effective in improving the performance of conventional controller. 2006 IEEE.