This paper presents a new procedure for optimization of continuous mixed suspensionmixed product removal (MSMPR) crystallizing systems. Owing to the difficulties of theoretical modelling, simulation of the MSMPR crystallization process is based on the use of artificial neural networks (ANN). The opt
Optimization of Fischer-Tropsch Synthesis Using Neural Networks
โ Scribed by F. A. N. Fernandes
- Publisher
- John Wiley and Sons
- Year
- 2006
- Tongue
- English
- Weight
- 80 KB
- Volume
- 29
- Category
- Article
- ISSN
- 0930-7516
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