Characterization of the catalytic performance of zeolite systems by artificial neural networks

Project: Research

Description

The characterization of aromatic alkylation within zeolites is achieved using artificial neural network approaches (counter-propagation, back-propagation). The training is based on experimental results retrieved from the scientific literature and the resulting neural networks are further used to predict the reactivity of various zeolitic systems under predetermined experimental conditions.
StatusFinished
Effective start/end date1/09/9531/12/02

Keywords

  • back-propagation
  • zeolite catalysis
  • Kohonen mapping
  • artificial neural networks
  • counter-propagation
  • aromatics alkylation