Estimating Reaction Rate Constants with Neural Networks

被引：0
|
作者：
Kovacs, Benedek [1 ]
Toth, Janos [1 ]
机构：
[1] Budapest Univ Technol & Econ, Dept Anal, Inst Math, H-1521 Budapest, Hungary
来源：
PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 20 | 2007年 / 20卷
关键词：
neural networks; parameter estimation; linear regression; kinetic models; reaction rate coefficients;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Solutions are proposed for the central problem of estimating the reaction rate coefficients in homogeneous kinetics. The first is based upon the fact that the right hand side of a kinetic differential equation is linear in the rate constants, whereas the second one uses the technique of neural networks. This second one is discussed deeply and its advantages, disadvantages and conditions of applicability are analyzed in the mirror of the first one. Numerical analysis carried out on practical models using simulated data, and our programs written in Mathematica.
引用
收藏
页码：13 / 17
页数：5
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