Neural network based model of the kinetics of catalytic hydrogenation reactions
Eugeniusz Molga , K. Roel Westerterp
Application of artificial neural networks (ANN) for modelling of the kinetics of a catalytic hydrogenation reaction in a gas-liquid-solid system has been studied and discussed. The kinetics of the hydrogenation of 2,4-DNT over a palladium on alumina catalyst has been described with feedforward neural networks of different architectures. A simple experimental procedure to supply learning data has been proposed. The accuracy and flexibility of the hybrid first principles-neural network model have been tested and compared with those of the classical model. © 1997 Elsevier Science B.V. All rights reserved.
|Book||Studies in Surface Science and Catalysis, Studies in Surface Science and Catalysis, 1997, 379-388 p.|
|ASJC Classification||; ; ; ;|
|Publication indicators||= 13; = 8; = 10.0; : 1999 = 0.676|
|Citation count*||10 (2014-12-22)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.