𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Hybrid first-principles/neural networks model for column flotation

✍ Scribed by Sanjay Gupta; Pi-Hsin Liu; Spyros A. Svoronos; Rajesh Sharma; N. A. Abdel-Khalek; Yahui Cheng; Hassan El-Shall


Publisher
American Institute of Chemical Engineers
Year
1999
Tongue
English
Weight
144 KB
Volume
45
Category
Article
ISSN
0001-1541

No coin nor oath required. For personal study only.


📜 SIMILAR VOLUMES


Model Reduction in Emulsion Polymerizati
✍ Alicia d'Anjou; F. Javier Torrealdea; José R. Leiza; José M. Asua; Gurutze Arzam 📂 Article 📅 2003 🏛 John Wiley and Sons 🌐 English ⚖ 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
✍ Gurutze Arzamendi; Alicia d'Anjou; Manuel Graña; José R. Leiza; José M. Asua 📂 Article 📅 2005 🏛 John Wiley and Sons 🌐 English ⚖ 167 KB

## Abstract **Summary:** A “series” 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

Hybrid neural network models for environ
✍ Richard D. De Veaux; Rod Bain; Lyle H. Ungar 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 132 KB 👁 1 views

A model that includes both ®rst principles dierential equations and an arti®cial neural network is used to forecast and control an environmental process. The inclusion of the ®rst principles knowledge in this hybrid model is shown to improve substantially the stability of the model predictions in sp

Neural networks and the multinomial logi
✍ Yves Bentz; Dwight Merunka 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 260 KB 👁 2 views

The study of brand choice decisions with multiple alternatives has been successfully modelled for more than a decade using the Multinomial Logit model. Recently, neural network modelling has received increasing attention and has been applied to an array of marketing problems such as market response