Project Details
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.
Status | Finished |
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Effective start/end date | 1/09/95 → 31/12/02 |
Keywords
- back-propagation
- zeolite catalysis
- Kohonen mapping
- artificial neural networks
- counter-propagation
- aromatics alkylation
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