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CASIA OpenIR
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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：396/105  |  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
浏览  |  Adobe PDF(827Kb)  |  收藏  |  浏览/下载：417/99  |  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  
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：341/104  |  提交时间：2017/07/18
Parameter Identifiability  Statistical Machine Learning  
A knowledge-and-data-driven modeling approach for simulating plant growth: A case study on tomato growth 期刊论文
ECOLOGICAL MODELLING, 2015, 卷号: 312, 页码: 363-373
作者:  Fan, Xing-Rong;  Kang, Meng-Zhen;  Heuvelink, Ep;  de Reffye, Philippe;  Hu, Bao-Gang;  Kang MZ(康孟珍)
浏览  |  Adobe PDF(1168Kb)  |  收藏  |  浏览/下载：531/71  |  提交时间：2015/09/23
Data-driven Model  Knowledge-driven Model  Greenlab  Knowledge-and-data-driven Model  Model Integration  Plant Growth Modeling  
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：340/83  |  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：328/81  |  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：281/71  |  提交时间：2015/08/12
Identifiability  Optimization Theory  Kullback-leibler Divergence  Hessian Matrix  Jacobian Matrix