Design of CO2 hydrogenation catalyst by an artificial neural network

Authors
Liu, Y Liu, Y Liu, DH Cao, T Han, S Xu, GH
Citation
Y. Liu et al., Design of CO2 hydrogenation catalyst by an artificial neural network, COMPUT CH E, 25(11-12), 2001, pp. 1711-1714
Citations number
14
Categorie Soggetti
Chemical Engineering
Journal title
COMPUTERS & CHEMICAL ENGINEERING
ISSN journal
00981354 → ACNP
Volume
25
Issue
11-12
Year of publication
2001
Pages
1711 - 1714
Database
ISI
SICI code
0098-1354(20011115)25:11-12<1711:DOCHCB>2.0.ZU;2-9
Abstract
An artificial neural network (ANN) is firstly applied to CO2 hydrogenation catalyst design. CO2 catalytic hydrogenation activity is represented as a f unction of the catalyst composition and reaction condition. After training, the network can predict CO2 catalytic hydrogenation activity and design CO 2 hydrogenation catalyst successfully. The estimated results are in good ag reement with the experimentally observed ones. (C) 2001 Elsevier Science Lt d. All rights reserved.