Development of an artificial neural network correlation for prediction of overall gas holdup in bubble column reactors-Reference-Cited by-同舟云学术

Development of an artificial neural network correlation for prediction of overall gas holdup in bubble column reactors

Published:2003-08 Issue:8-9 Volume:42 Page:599-610
ISSN:0255-2701
Container-title:Chemical Engineering and Processing: Process Intensification
language:en
Short-container-title:Chemical Engineering and Processing: Process Intensification

Author:

Shaikh Ashfaq,Al-Dahhan Muthanna

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Process Chemistry and Technology,Energy Engineering and Power Technology,General Chemical Engineering,General Chemistry

Reference30 articles.

1. Bubble Column Reactors;Deckwer,1992

2. Reactions of synthesis gas;Wender;Fuel Process. Technol.,1996

3. J. Lehman, J. Hammer, Continuous fermentation in tower fermentor, I European Congress on Biotechnology, Interlaken, Part 1 (1978) 1.

4. G. Diesterwerg, H. Fuhr, P. Reher, Die bayer-turmbiologie, Industrieabwasser 7 (1978).

5. Chemical Reactions for Gas–Liquid Systems;Kastanek,1983

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