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	Mixture Correntropy-Based Kernel Extreme Learning Machines 期刊论文 OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 811-825 作者: Zheng, Yunfei; Chen, Badong; Wang, Shiyuan; Wang, Weiqun; Qin, Wei \| 收藏 \| 浏览/下载：38/0 \| 提交时间：2022/03/17 Kernel Optimization Learning systems Robustness Support vector machines Mean square error methods Extreme learning machine (ELM) kernel method mixture correntropy online learning
	Broad Learning System Based on Maximum Correntropy Criterion 期刊论文 OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 7, 页码: 3083-3097 作者: Zheng, Yunfei; Chen, Badong; Wang, Shiyuan; Wang, Weiqun \| 收藏 \| 浏览/下载：42/0 \| 提交时间：2021/08/15 Learning systems Robustness Standards Optimization Training Perturbation methods Mean square error methods Broad learning system (BLS) incremental learning algorithms maximum correntropy criterion (MCC) regression and classification
	Target geo-location based on laser range finder for airborne electro-optical imaging systems 期刊论文 OAI收割 Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2019, 卷号: 27, 期号: 1, 页码: 8-16 作者: H.Zhang; C.Qiao; H.-P.Kuang \| 收藏 \| 浏览/下载：52/0 \| 提交时间：2020/08/24 Extended Kalman filters,Control nonlinearities,Error analysis,Geodesy,Image enhancement,Imaging systems,Locks (fasteners),Mean square error,Measurement errors,Monte Carlo methods,Optical image storage,Position measurement,Radar equipment
	Relative closeness ranking of Kalman filtering with multiple mismatched measurement noise covariances 期刊论文 OAI收割 IET CONTROL THEORY AND APPLICATIONS, 2018, 卷号: 12, 期号: 8, 页码: 1133-1140 作者: Shao, Teng; Ge, Quanbo; Duan, Zhansheng; Yu, Junzhi \| 收藏 \| 浏览/下载：32/0 \| 提交时间：2018/10/10 Linear Systems Kalman Filters Mean Square Error Methods Relative Closeness Ranking Kalman Filtering Multiple Mismatched Measurement Noise Covariances Linear Dynamic Systems Ideal Mse Filter Calculated Mse True Mse Fmse Tmse Imse Mean Squared Error
	Information encryption technology based on digital watermarkingand iteration algorithm 期刊论文 OAI收割 guangxue xuebao/acta optica sinica, 2016, 卷号: 36, 期号: 6 作者: Xie, Qingkun; Jiang, Yanru; Zhang, Wenfei; Wang, Jing; Qu, Enshi 收藏 \| 浏览/下载：36/0 \| 提交时间：2016/10/14 Cryptography Digital watermarking Errors Fourier optics Frequency domain analysis Image processing Iterative methods Mean square error Signal detection
	Estimating the daily global solar radiation spatial distribution from diurnal temperature ranges over the tibetan plateau in China EI期刊论文 OAI收割 2013 作者: Dai Erfu; Wu Shaohong; Pan Tao; Liu Yujie 收藏 \| 浏览/下载：38/0 \| 提交时间：2014/12/31 Solar radiation Correlation methods Estimation Geographic information systems Infrared radiation Mean square error Prisms Spatial distribution Sun Superconducting materials
	Modified periodogram method for estimating the Hurst exponent of fractional Gaussian noise 期刊论文 OAI收割 PHYSICAL REVIEW E, 2009, 卷号: 80, 期号: 6 作者: Liu, Yingjun; Liu, Yong; Wang, Kun; Jiang, Tianzi; Yang, Lihua 收藏 \| 浏览/下载：42/0 \| 提交时间：2015/08/12 fractals Gaussian noise maximum likelihood estimation mean square error methods Monte Carlo methods piecewise polynomial techniques
	Design and tolerance analysis of compensator for high order aspheric surface testing (EI CONFERENCE) 会议论文 OAI收割 2009 International Conference on Optical Instruments and Technology - Optoelectronic Measurement Technology and Systems, October 19, 2009 - October 22, 2009, Shanghai, China 作者: Chen X.; Liu W.; Chen X.; Chen X. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 High accuracy is required in surface testing of 90nm nodal point lithography projecting lens. By comparing various aspheric surface testing methods the structure layout of the compensator is a meniscus positive lens combined with a Plano-convex positive lens. The design results indicate that: primary and high order aberrations are balanced well we adopt Offner null compensator to test the aspheric surface in the point diffraction interferometer at last. In this paper MTF exceeds diffraction limit an Offner compensator is presented on the base of the third order aberration theory to test concave aspheric surface root-mean-square (RMS) of wave front error /167. The F-number of the system can achieve F/1.64. By the analysis of the process of aspheric surface testing with the designed system the optical construction parameters of which is determined by introducing equal-quantities spherical aberration to compensate all orders of aspheric coefficients. The field of view of the system is 0.02 a loosen distribution of the tolerance was presented based on the accuracy of measuring apparatus. 2009 SPIE.
	The study on the near infrared spectrum technology of sauce component analysis (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Li S.; Wang C.; Chen X.; Chen X.; Chen X. 收藏 \| 浏览/下载：34/0 \| 提交时间：2013/03/25 The author Shangyu Li engages in supervising and inspecting the quality of products. In soy sauce manufacturing quality control of intermediate and final products by many components such as total nitrogen saltless soluble solids nitrogen of amino acids and total acid is demanded. Wet chemistry analytical methods need much labor and time for these analyses. In order to compensate for this problem we used near infrared spectroscopy technology to measure the chemical-composition of soy sauce. In the course of the work a certain amount of soy sauce was collected and was analyzed by wet chemistry analytical methods. The soy sauce was scanned by two kinds of the spectrometer the Fourier Transform near infrared spectrometer (FT-NIR spectrometer) and the filter near infrared spectroscopy analyzer. The near infrared spectroscopy of soy sauce was calibrated with the components of wet chemistry methods by partial least squares regression and stepwise multiple linear regression. The contents of saltless soluble solids total nitrogen total acid and nitrogen of amino acids were predicted by cross validation. The results are compared with the wet chemistry analytical methods. The correlation coefficient and root-mean-square error of prediction (RMSEP) in the better prediction run were found to be 0.961 and 0.206 for total nitrogen 0.913 and 1.215 for saltless soluble solids 0.855 and 0.199 nitrogen of amino acids 0.966 and 0.231 for total acid respectively. The results presented here demonstrate that the NIR spectroscopy technology is promising for fast and reliable determination of major components of soy sauce.