中国科学院机构知识库网格系统: 检索

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	Minimum parameter learning method for an N-link manipulator with nonlinear disturbance observer 期刊论文 OAI收割 International Journal of Robotics and Automation, 2016, 卷号: 31, 期号: 3, 页码: 206-212 作者: Hongjun Yang; Jinkun Liu \| 收藏 \| 浏览/下载：29/0 \| 提交时间：2019/09/23 Minimum Parameter Learning Adaptive Control Disturbance Observer Rbf Neural Networks N-link Manipulator
	Generalization Performance of Radial Basis Function Networks 期刊论文 OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 3, 页码: 551-564 作者: Lei, Yunwen; Ding, Lixin; Zhang, Wensheng 收藏 \| 浏览/下载：34/0 \| 提交时间：2015/11/08 Learning theory local Rademacher complexity radial basis function (RBF) networks structural risk minimization (SRM)
	基于线性先验的径向基函数神经网络的研究学位论文 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, 2012 作者: 瞿亚军收藏 \| 浏览/下载：69/0 \| 提交时间：2015/09/02 透明度径向基函数神经网络先验信息线性先验线性约束消元法 Transparency RBF Networks Prior Information Linear Priors Linear Constraints Elimination Method
	Multistage RBF neural network ensemble learning for exchange rates forecasting 期刊论文 OAI收割 NEUROCOMPUTING, 2008, 卷号: 71, 期号: 16-18, 页码: 3295-3302 作者: Yu, Lean; Lai, Kin Keung; Wang, Shouyang \| 收藏 \| 浏览/下载：25/0 \| 提交时间：2018/07/30 RBF neural networks Ensemble learning Conditional generalized variance Exchange rates prediction
	Design and simulation of theodolite DC servo control system based on neural network (EI CONFERENCE) 会议论文 OAI收割 6th World Congress on Intelligent Control and Automation, WCICA 2006, June 21, 2006 - June 23, 2006, Dalian, China 作者: Li S.; Li Y.; Li Y.; Li Y.; Li Y. 收藏 \| 浏览/下载：19/0 \| 提交时间：2013/03/25 According to analyzing the nonlinearities and uncertainties of the theodolite DC servo control system the RBF and CMAC+PD hybrid neural networks are proposed the control algorithm and the simulations are also verified the effectiveness and it proves that it can be used in many other control fields. 2006 IEEE.