On the rate of oxidation of CO on La2O3 doped NiO/Al2O3 catalysts:: An artificial neural network approach

被引：4

作者：

Ardakani, SJ ^{[1
]}

Gobal, F ^{[1
]}

机构：

[1] Sharif Univ Technol, Dept Chem, Tehran, Iran

来源：

REACTION KINETICS AND CATALYSIS LETTERS | 2005年 / 85卷 / 02期

关键词：

artificial neural network; oxidation of CO; catalyst design;

D O I：

10.1007/s11144-005-0280-8

中图分类号：

O64 [物理化学（理论化学）、化学物理学];

学科分类号：

070304 ; 081704 ;

摘要：

The rate constants of the oxidation of CO on a number of pure and La2O3 doped NiO/Al2O3 solid catalysts were correlated with the mole percent of dopant, calcinations temperature, surface area, pore volume and pore mouth diameter by an artificial neural network simulator. The cross validation method had to be used due to the scarcity of the data. A three-layer network with 3 nodes in the hidden layer was found to simulate the system well.

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收藏

页码：347 / 353

页数：7

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