𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Control of a Batch Polymerization System Using Hybrid Neural Network - First Principle Model

✍ Scribed by Ng Cheah Wei; Mohamed Azlan Hussain; Ahmad Khairi Abdul Wahab

Publisher
John Wiley and Sons
Year
2008
Tongue
English
Weight
835 KB
Volume
85
Category
Article
ISSN
0008-4034

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Model Reduction in Emulsion Polymerizati
Model Reduction in Emulsion Polymerization Using Hybrid First-Principles/Artificial Neural Network Models
✍ Alicia d'Anjou; F. Javier Torrealdea; JosΓ© R. Leiza; JosΓ© M. Asua; Gurutze Arzam πŸ“‚ Article πŸ“… 2003 πŸ› John Wiley and Sons 🌐 English βš– 356 KB

## Abstract A first‐principles mathematical model for emulsion polymerization was reduced by using a hybrid mathematical model composed by artificial neural networks (ANN) and material balances. The goal was to have an accurate model that may be integrated fast enough to be used for online optimiza

Model Reduction in Emulsion Polymerizati
Model Reduction in Emulsion Polymerization Using Hybrid First Principles/Artificial Neural Networks Models, 2
✍ Gurutze Arzamendi; Alicia d'Anjou; Manuel GraΓ±a; JosΓ© R. Leiza; JosΓ© M. Asua πŸ“‚ Article πŸ“… 2005 πŸ› John Wiley and Sons 🌐 English βš– 167 KB

## Abstract **Summary:** A β€œseries” hybrid model based on material balances and artificial neural networks to predict the evolution of weight average molecular weight, $\overline M \_{\rm w}$, in semicontinuous emulsion polymerization with long chain branching kinetics is presented. The core of the