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A knowledge-and-data-driven modeling approach for simulating plant growth and the dynamics of CO2/O-2 concentrations in a closed system of plants and humans by integrating mechanistic and empirical models 期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2018, 卷号: 148, 期号: -, 页码: 280-290
作者:  Fan, Xing-Rong;  Wang, Xiujuan;  Kang, Mengzhen;  Hua, Jing;  Guo, Shuangsheng;  de Reffye, Philippe;  Hu, Bao-Gang
浏览  |  Adobe PDF(827Kb)  |  收藏  |  浏览/下载：375/97  |  提交时间：2019/12/16
Closed Ecological Life Support System  Functional-structural Plant Model  Knowledge-and-data-driven Model  Mass Balance Model  Model Evaluation  And Model Verification  
A knowledge-and-data-driven modeling approach for simulating plant growth and the dynamics of CO2/O2 concentrations in a closed system of plants and humans by integrating mechanistic and empirical models 期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2018, 卷号: 148, 期号: 0, 页码: 280-290
作者:  Fan, Xing-Rong;  Wang, Xiujuan;  Kang, Mengzhen;  Hua, Jing;  Guo, Shuangsheng;  de Reffye, Philippe;  Hu, Bao-Gang
Adobe PDF(827Kb)  |  收藏  |  浏览/下载：401/95  |  提交时间：2018/10/10
Closed Ecological Life Support System  Functional-structural Plant Model  Knowledge-and-data-driven Model  Mass Balance Model  Model Evaluation  And Model Verification  
Robust C-Loss Kernel Classifiers 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 3, 页码: 510-522
作者:  Xu, Guibiao;  Hu, Bao-Gang;  Principe, Jose C.
Adobe PDF(3169Kb)  |  收藏  |  浏览/下载：395/157  |  提交时间：2018/01/05
Correntropy  Half-quadratic (Hq) Optimization  Kernel Classifier  Loss Function  
Parameter Identifiability in Statistical Machine Learning: A Review 期刊论文
NEURAL COMPUTATION, 2017, 卷号: 29, 期号: 5, 页码: 1151-1203
作者:  Ran, Zhi-Yong;  Hu, Bao-Gang
浏览  |  Adobe PDF(466Kb)  |  收藏  |  浏览/下载：331/100  |  提交时间：2017/07/18
Parameter Identifiability  Statistical Machine Learning  
An Optimization Approach of Deriving Bounds between Entropy and Error from Joint Distribution: Case Study for Binary Classifications 期刊论文
ENTROPY, 2016, 卷号: 18, 期号: 2, 页码: 1-19
作者:  Hu, Bao-Gang;  Xing, Hong-Jie
浏览  |  Adobe PDF(1540Kb)  |  收藏  |  浏览/下载：181/39  |  提交时间：2016/06/14
Entropy  Error Probability  Bayesian Errors  Error Types  Upper Bound  Lower Bound  
UniHIST: A Unified Framework for Image Restoration With Marginal Histogram Constraints 会议论文
IEEE Conference on Computer Vision and Pattern Recognition, Boston, MA, 2015-6
作者:  Mei, Xing;  Dong, Weiming;  Hu, Bao-Gang;  Lyu, Siwei
浏览  |  Adobe PDF(2059Kb)  |  收藏  |  浏览/下载：308/39  |  提交时间：2016/04/22
Image Restoration  
Analytical study of a stochastic plant growth model: Application to the GreenLab model 期刊论文
MATHEMATICS AND COMPUTERS IN SIMULATION, 2008, 卷号: 78, 期号: 1, 页码: 57-75
作者:  Kang, M. Z.;  Cournede, P. H.;  de Reffye, P.;  Auclair, D.;  Hu, B. G.
浏览  |  Adobe PDF(1284Kb)  |  收藏  |  浏览/下载：262/65  |  提交时间：2015/11/08
Greenlab  Analytical Moments  Recurrent Computation  Bud Probability  Stochastic Functional-structural Plant Model  
An identifying function approach for determining parameter structure of statistical learning machines 期刊论文
NEUROCOMPUTING, 2015, 卷号: 162, 页码: 209-217
作者:  Ran, Zhi-Yong;  Hu, Bao-Gang
Adobe PDF(386Kb)  |  收藏  |  浏览/下载：323/78  |  提交时间：2015/09/17
Identifying Function  Structural Identifiability  Statistical Learning Machine  Kullback-leibler Divergence  Parameter Redundancy  Reparameterization  
Determining structural identifiability of parameter learning machines 期刊论文
NEUROCOMPUTING, 2014, 卷号: 127, 期号: 1, 页码: 88-97
作者:  Ran, Zhi-Yong;  Hu, Bao-Gang
浏览  |  Adobe PDF(515Kb)  |  收藏  |  浏览/下载：305/76  |  提交时间：2015/08/12
Identifiability  Parameter Learning Machine  Exhaustive Summary  Kullback-leibler Divergence  Parameter Redundancy  
Determining parameter identifiability from the optimization theory framework: A Kullback-Leibler divergence approach 期刊论文
NEUROCOMPUTING, 2014, 卷号: 142, 期号: 2, 页码: 307-317
作者:  Ran, Zhi-Yong;  Hu, Bao-Gang
浏览  |  Adobe PDF(563Kb)  |  收藏  |  浏览/下载：274/69  |  提交时间：2015/08/12
Identifiability  Optimization Theory  Kullback-leibler Divergence  Hessian Matrix  Jacobian Matrix