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	Online reinforcement learning control by Bayesian inference 期刊论文 OAI收割 IET CONTROL THEORY AND APPLICATIONS, 2016, 卷号: 10, 期号: 12, 页码: 1331-1338 作者: Xia, Zhongpu; Zhao, Dongbin; Dongbin Zhao \| 收藏 \| 浏览/下载：69/0 \| 提交时间：2016/06/15 Learning Systems Bayes Methods Gaussian Processes Optimal Control Online Reinforcement Learning Control Bayesian Inference Self-learning Control Probability Action Value Function Gaussian Process Bayesian-state-action-reward-state-action Algorithm
	Parametric Probability Distribution Functions for Axon Diameters of Corpus Callosum 期刊论文 OAI收割 FRONTIERS IN NEUROANATOMY, 2016, 卷号: 10 作者: Sepehrband, Farshid; Alexander, Daniel C.; Clark, Kristi A.; Kurniawan, Nyoman D.; Yang, Zhengyi \| 收藏 \| 浏览/下载：24/0 \| 提交时间：2016/10/20 Axon Diameter Distribution Probability Distribution Function Corpus Callosum Electron Microscopy Generalized Extreme Value Distribution Gamma Distribution
	Evaluation of the operating range for ground-based infrared imaging tracking system (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China 作者: Zhang Z.-D. 收藏 \| 浏览/下载：50/0 \| 提交时间：2013/03/25 Ground-based infrared imaging tracking system (GIITS) is of great importance for aerial target warning and guard. The operating range is one of the key performance specifications on the other which should be calculated calculate the radiation power received on the detector in order to analysis whether the output signal meets the detection requirements or not analyzed and studied during the whole GIITS design process. The operating range is mostly influenced by a few factors without considering the effect of the background radiation. By improving of the traditional method including atmospheric attenuation a new operating range calculation model of the GIITS was established based on two requirements. One is that the image size of observed target should meet the requirement of the processor signal extraction. The number of the pixel occupied by target image should be more than 9. The other is that the signal noise ratio (SNR) of the GIITS should not be less than 5 to meet the requirements of the target detection probability and spatial frequency. The SNR calculation equation in form of energy is deduced and the radiation characteristic of the observed target and background are analyzed. When evaluate the operating range of the GIITS using the new method the performance of GIITS and feature of target and background. This paper firstly makes analysis and summarization on the definite localizations of the traditional operating range equation of the GIITS. The localizations are mainly in two aspects. On one hand we should successively calculate two operating range values according to two requirements mentioned above and choose the minimum value as the analytic result. In the end the dispersion of the image and the effect of image dispersion are not considered in the traditional method an evaluation of operating range for fighter aircraft is accomplished as an example. The influence factors in every aspect on operating range were explored by the calculated result. The new operating range calculation model provides the theoretical basis for the design and applications as well as the comprehensive evaluation of a GIITS. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
	An electro-optical tracking method in target separation based on fuzzy clustering association rules (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China Guo T.-J.; Gao H.-B.; Zhang S.-M.; Wu Y.-J. 收藏 \| 浏览/下载：37/0 \| 提交时间：2013/03/25 An effective tracking method is proposed to solve the problem that the electro-optical tracking system in Missile Range easily loses the real target during the target separation. Before target separation the error correcting value of the theoretical trajectory is obtained by the theoretical trajectory correcting algorithm. In the phase of target separation the theoretical trajectory of the target is corrected by the error correcting value firstly and then the fuzzy clustering association algorithm is applied to calculate the similarity between the measuring data of the target from sensors and the corrected theoretical trajectory. The similarity helps to identify whether the measured data is from the real target or not. Experimental results show that the authenticity of the target can be determined effectively. The identified results can be used as the decision-making basis of the servo sub-system and TV trackers which can improve the continuous tracking probability of the electro-optical tracking system in the target separation. 2010 IEEE.
	Histogram comparison used in BESIIIsoftware and data validation 期刊论文 OAI收割中国物理C, 2010, 期号: 3, 页码: 374-378 作者: Yao J(姚剑); Ji XB(季晓斌); Li DM(李德民) 收藏 \| 浏览/下载：14/0 \| 提交时间：2015/12/21 histogram comparison Kolmogorov test Chi2 test probability value
	Histogram comparison used in BESIII software and data validation 期刊论文 OAI收割 CHINESE PHYSICS C, 2010, 卷号: 34, 期号: 3, 页码: 374-378 作者: Yao, J; Ji XB(季晓斌); Ji, XB; Li, DM 收藏 \| 浏览/下载：28/0 \| 提交时间：2016/06/27 histogram comparison Kolmogorov test Chi2 test probability value
	On statistical significance of signal 期刊论文 OAI收割 HIGH ENERGY PHYSICS AND NUCLEAR PHYSICS-CHINESE EDITION, 2006, 卷号: 30, 期号: 4, 页码: 331-334 作者: Zhu YS(朱永生); Zhu, YS 收藏 \| 浏览/下载：33/0 \| 提交时间：2016/06/27 statistical significance p-value normal probability likelihood-ratio Poisson distribution