QQ客服 官方微博 反馈留言

浏览/检索结果: 共25条，第1-10条 帮助 限定条件 发表日期：2015    专题：中南大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Various properties of Pd3Ag/TiAl membranes from density functional theory 期刊论文 Journal of Membrane Science, 2015, 卷号: 475, 页码: 406-413 作者:  Wang, Ji Wei;  He, Y.H.;  Gong, H.R. 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/03 Pd3Ag membranes  TiAl support  Interface cohesion  Hydrogen permeation  Interface atomic configuration   Identification and validation of gene module associated with lung cancer through coexpression network analysis 期刊论文 Gene, 2015, 卷号: 563, 期号: 1, 页码: 56-62 作者:  Liu, Rong;  Cheng, Yu;  Yu, Jing;  Lv, Qiao-Li;  Zhou, Hong-Hao* 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/03 WGCNA  weighted gene co-expression network analysis  LCHN  lung cancer-specific hub network  MS  module significance  GS  gene significance  TOM  topologic overlap measure  kME  Pearson's correlation coefficient between each individual gene and ME  MEs  module eigengenes  GO  Gene Ontology.  Lung cancer  Gene expression profiling  Systems biology  Support vector machine  Biomarkers   Large Unbalanced Credit Scoring Using Lasso-Logistic Regression Ensemble 期刊论文 PLOS ONE, 2015, 卷号: 10, 期号: 2, 页码: e0117844 作者:  Wang, Hong;  Xu, Qingsong;  Zhou, Lifeng* 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/03 Machine learning algorithms,Algorithms,Decision tree learning,Machine learning,Support vector machines,Neural networks,Finance,Test statistics   In silico evaluation of logD7.4 and comparison with other prediction methods 期刊论文 Journal of Chemometrics, 2015, 卷号: 29, 期号: 7, 页码: 389-398 作者:   收藏  |  浏览/下载：7/0  |  提交时间：2019/12/03 lipophilicity  distribution coefficient  logD7.4  quantitative structure–property relationship (QSPR)  support vector machine (SVM)  genetic algorithm (GA)   A novel LS-SVM modeling method for a hydraulic press forging process with multiple localized solutions 期刊论文 IEEE Transactions on Industrial Informatics, 2015, 卷号: 11, 期号: 3, 页码: 663-670 作者:  Lu, Xinjiang*;  Fan, Bi;  Huang, Minghui 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/03 Forging process  least squares support vector  machine (LS-SVM)  multiple working regions  regularization   Comparison of Nine Statistical Model Based Warfarin Pharmacogenetic Dosing Algorithms Using the Racially Diverse International Warfarin Pharmacogenetic Consortium Cohort Database 期刊论文 PLOS ONE, 2015, 卷号: 10, 期号: 8, 页码: e0135784 作者:  Liu, Rong;  Li, Xi*;  Zhang, Wei;  Zhou, Hong-Hao 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/03 Machine learning algorithms,Machine learning,Dose prediction methods,Algorithms,Artificial neural networks,Pharmacogenetics,Decision trees,Support vector machines   In silico toxicity prediction of chemicals from EPA toxicity database by kernel fusion-based support vector machines 期刊论文 Chemometrics and Intelligent Laboratory Systems, 2015, 卷号: 146, 页码: 494-502 作者:  Cao, Dong-Sheng*;  Dong, Jie;  Wang, Ning-Ning;  Wen, Ming;  Deng, Bai-Chuan 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/03 Toxicity prediction  Support vector machine  Kernel methods  Kernel fusion  Data fusion   Graphitic mesoporous carbon based on aromatic polycondensation as catalyst support for oxygen reduction reaction 期刊论文 Journal of Power Sources, 2015, 卷号: 278, 页码: 522-526 作者:  Liu, Peng*;  Kong, Jiangrong;  Liu, Yaru;  Liu, Qicheng;  Zhu, Hongze 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/03 Graphitic mesoporous carbon  Aromatic polycondensation  Catalyst support  Oxygen reduction reaction   Psychometric testing of the Chinese version of the Medical Outcomes Study Social Support Survey among people living with HIV/AIDS in China 期刊论文 Applied Nursing Research, 2015, 卷号: 28, 期号: 4, 页码: 328-333 作者:  Yu, Yu;  Yang, Joyce P.;  Shiu, Cheng-Shi;  Simoni, Jane M.;  Xiao, Shuiyuan 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/03 Medical Outcomes Study Social Support Survey  Psychometric testing  HIV/AIDS  Chinese   Nonlinear modeling of the inverse force function for the planar switched reluctance motor using sparse least squares support vector machines 期刊论文 IEEE Transactions on Industrial Informatics, 2015, 卷号: 11, 期号: 3, 页码: 591-600 作者:  Huang, Su-Dan;  Cao, Guang-Zhong*;  He, Zheng-You;  Pan, J. F.;  Duan, Ji-An 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/03 Inverse force function  least squares support vector machines ( LS-SVMs)  nonlinear modeling  phase current estimation  planar switched reluctance motors ( PSRMs).