毛细管电泳径向基神经网络校正法定量分析核苷

毛利锋, 沈朋, 程翼宇 - 化学学报, 2004 - sioc-journal.cn
摘要采用径向基神经网络算法对一组已知样品的核苷及内标物浓度与毛细管电泳峰面积数据
进行回归计算, 建立峰面积与核苷浓度之间的关系模型, 对未知样品中待测核苷浓度作出预测 …

Integration of macromolecular diffraction data using radial basis function networks

B Pokrić, NM Allinson, JR Helliwell - Journal of Synchrotron …, 2000 - journals.iucr.org
This paper presents a novel approach for intensity calculation of X-ray diffraction spots
based on a two-stage radial basis function (RBF) network. The first stage uses pre …

[PDF][PDF] Contribution Separators Wide MarginProcessing of Remote Sensing Data

A Khireddine, J p Salvestrini - International Journal of Computer and …, 2010 - Citeseer
One of the main goals of remote sensing is extracting meaningful information of the image.
We are interested in one of the treatments used: segmentation. Thus, we tried to introduce …

Correction of satellite images deformations using tropospheric aerosols

A Khireddine, JP Salvestrini - Image Processing & Communications, 2008 - infona.pl
Modern digital technology has made it possible to manipulate multi-dimensional signals with
systems that range from simple digital circuits to advanced parallel computers [1, 2]. The …

Calibration modeling of capillary electrophoresis for quantitative analysis of guanosine based on radial basis function network

LF MAO, P SHEN, YY CHENG - Acta Chimica Sinica, 2004 - sioc-journal.cn
A new method for calibration modeling of capillary electrophoresis (CE) is a nonlinear
regression based on radial basis function network (RBFN). The RBFN was trained with a set …