位置：成果数据库 > 期刊 > 期刊详情页
Radial basis function network-based transformation for nonlinear partial least-squares as optimized
  • ISSN号：0169-7439
  • 期刊名称：Chemometrics and Intelligent Laboratory Systems
  • 时间：2014.1.15
  • 页码：37-44
  • 相关项目：代谢组学数据解析方法用于肺癌早期诊断
作者： Xing Jing-Jing|Luo Rui-Min|Guo Hai-Li|Li Ya-Qiong|Fu Hai-Yan|Yang Tian-Ming|Zhou Yan-Ping|
同期刊论文项目
代谢组学数据解析方法用于肺癌早期诊断
期刊论文 10 会议论文 1
同项目期刊论文
A Robust Boosting Regression Tree with Applications in Quantitative Structure-Activity Relationship
Boosting partial least-squares discriminant analysis with application to near infrared spectroscopic
Rapid and non-destructive discrimination of tea varieties by near infrared diffuse reflection spectr
A novel solid-phase microextraction method based on polymer monolith frit combining with high-perfor
基于径向基函数网络的非线性偏最小二乘法用于QSAR研究
QSAR classification model for diverse series of antimicrobial agents using classification tree confi
Quantitative analysis of tea using ytterbium-based internal standard near-infrared spectroscopy coup
Adaptive configuration of radial basis function network by regression tree allied with hybrid partic
Particle swarm optimization-based protocol for partial least-squares discriminant analysis: Applicat