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：
	Functional coefficient autoregressive conditional root model 期刊论文 OAI收割 JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2012, 卷号: 25, 期号: 5, 页码: 998-1013 作者: Zhou Jianjun; Chen Min \| 收藏 \| 浏览/下载：26/0 \| 提交时间：2021/01/14 NONLINEAR TIME-SERIES REGRESSION-MODELS DIVERGING NUMBER LIKELIHOOD PARAMETERS Ergodicity functional coefficient polynomial spline function
	Contact-impact analys with clearance hinge in flexible multi-body system (EI CONFERENCE) 会议论文 OAI收割 2nd Annual Conference on Electrical and Control Engineering, ICECE 2011, September 16, 2011 - September 18, 2011, Yichang, China Ge M.; Jia H.; Liu B. 收藏 \| 浏览/下载：53/0 \| 提交时间：2013/03/25 Hinge in mechanical systems exist small clearance and contact deformation After consideration of flexible components cause the system to the wear and tear impact force reduced at the clearance noise contact time increased vibration contact-impact areas expand and clearance also caused disturbance of the rod angular velocity of the linkage. 2011 IEEE. reliability reduce or even failure[1]. Therefore the hinge clearance and the impact of flexible components in kinetic models should be considered. In this paper a nonlinear spring-damper hinge clearance model is considered to establish mechanical system structure of dynamic equations[46] through a four-bar linkage hinge with multi-clearance rotation of ADAMS dynamic simulation for dynamics simulation study. Simulation results show that hinge clearance and link flexible in Four-link mechanism dynamics have a great impact on performance: connection with the clearance lead to pin holes to produce a series of collisions and a larger initial impact force
	Intelligent MRTD testing for thermal imaging system using ANN (EI CONFERENCE) 会议论文 OAI收割 ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China Sun J.; Ma D. 收藏 \| 浏览/下载：27/0 \| 提交时间：2013/03/25 The Minimum Resolvable Temperature Difference (MRTD) is the most widely accepted figure for describing the performance of a thermal imaging system. Many models have been proposed to predict it. The MRTD testing is a psychophysical task for which biases are unavoidable. It requires laboratory conditions such as normal air condition and a constant temperature. It also needs expensive measuring equipments and takes a considerable period of time. Especially when measuring imagers of the same type the test is time consuming. So an automated and intelligent measurement method should be discussed. This paper adopts the concept of automated MRTD testing using boundary contour system and fuzzy ARTMAP but uses different methods. It describes an Automated MRTD Testing procedure basing on Back-Propagation Network. Firstly we use frame grabber to capture the 4-bar target image data. Then according to image gray scale we segment the image to get 4-bar place and extract feature vector representing the image characteristic and human detection ability. These feature sets along with known target visibility are used to train the ANN (Artificial Neural Networks). Actually it is a nonlinear classification (of input dimensions) of the image series using ANN. Our task is to justify if image is resolvable or uncertainty. Then the trained ANN will emulate observer performance in determining MRTD. This method can reduce the uncertainties between observers and long time dependent factors by standardization. This paper will introduce the feature extraction algorithm demonstrate the feasibility of the whole process and give the accuracy of MRTD measurement.
	Distribution-free strong consistency for nonparametric kernel regression involving nonlinear time series 期刊论文 OAI收割 JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 1997, 卷号: 65, 期号: 1, 页码: 67-86 作者: Lu, ZD; Cheng, P \| 收藏 \| 浏览/下载：23/0 \| 提交时间：2018/07/30 alpha-mixing stationary sequence kernel regression modified kernel regression distribution-free strong consistency nonlinear time series models