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	Research on the identification for a nonlinear system (EI CONFERENCE) 会议论文 OAI收割 International Conference on Optical, Electronic Materials and Applications 2011, OEMA 2011, March 4, 2011 - March 6, 2011, Chongqing, China 作者: Liu J.; Jia P.; Liu J.; Liu J. 收藏 \| 浏览/下载：31/0 \| 提交时间：2013/03/25 The characteristic of the drift error of inertial platform is a high-order nonlinear dynamic system using the neural networks' abilities of universal approximation of differentiable trajectory and capturing system dynamic information this paper presents the drift error identifying project of inertial platform based on Elman networks structure. First the drift error model of inertial platform is established after selecting the input and output for network momentum and alterable speed algorithm is used to speed up the network convergence. On the basis of the algorithm the extended nonlinear node function in the hidden network does not only improve the learning speed of network but also satisfies the need of accuracy on system identification. Through the drift error data measured on inertial platform the training result shows that the scheme achieves satisfied identification results. (2011) Trans Tech Publications.
	Further results on optimal critical values of pre-test when estimating the regression error variance 期刊论文 OAI收割 ECONOMETRICS JOURNAL, 2006, 卷号: 9, 期号: 1, 页码: 159-176 作者: Wan, ATK; Zou, G; Ohtani, K \| 收藏 \| 浏览/下载：11/0 \| 提交时间：2018/07/30 entropy loss first-order differentiable inequality constraint Lebesgue integrable regression variance
	Optimal critical values of pre-tests when estimating the regression error variance: analytical findings under a general loss structure 期刊论文 OAI收割 JOURNAL OF ECONOMETRICS, 2003, 卷号: 114, 期号: 1, 页码: 165-196 作者: Wan, ATK; Zou, GH \| 收藏 \| 浏览/下载：22/0 \| 提交时间：2018/07/30 entropy loss first-order differentiable Lebesgue integrable linear restrictions LINEX loss quadratic loss risk variance homogeneity