Recent advances in kinetometrics

被引：20
作者：
PerezBendito, D
Silva, M
机构：
[1] Department of Analytical Chemistry, Faculty of Sciences, University of Córdoba
来源：
TRAC-TRENDS IN ANALYTICAL CHEMISTRY | 1996年 / 15卷 / 06期
关键词：
D O I：
10.1016/0165-9936(96)00024-6
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
Kinetometrics is a concept of increasing interest to kinetic-based determinations as a result of dynamic systems frequently exhibiting won-linear relationships that can readily be modelled with computational aids (mathematical algorithms), Curve-fitting and related algorithms have proved useful ist both error-compensated methods (which effectively address the variability of kinetic data arising from their transient nature) and in simultaneous kinetic determinations. This article discusses the usefulness of different kinetometric approaches currently available, viz. Kalman filtering, multivariate (multiwavelength) calibration methods and artificial neural networks.
引用
收藏
页码：232 / 240
页数：9
相关论文
共 45 条
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