Artificial Intelligence techniques applied as estimator in chemical process systems – A literature survey-Reference-Cited by-同舟云学术

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Artificial Intelligence techniques applied as estimator in chemical process systems – A literature survey

Published:2015-08 Issue:14 Volume:42 Page:5915-5931
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Mohd Ali Jarinah,Hussain M.A.,Tade Moses O.,Zhang Jie

Funder

University of Malaya

Ministry of Higher Education in Malaysia

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference142 articles.

1. Static and dynamic neural network models for estimating biomass concentration during thermophilic lactic acid bacteria batch cultures;Acuña;Journal of Fermentation and Bioengineering,1998

2. Integral observers for uncertainty estimation in continuous chemical reactors: Algebraic-differential approach;Aguilar-López;Chemical Engineering Journal,2003

3. Emission control in palm oil mills using artificial neural network and genetic algorithm;Ahmad;Computers & Chemical Engineering,2004

4. Automatization of a penicillin production process with soft sensors and an adaptive controller based on neuro fuzzy systems;Araúzo-Bravo;Control Engineering Practice,2004

5. Performance of different types of controllers in tracking optimal temperature profiles in batch reactors;Aziz;Computers & Chemical Engineering,2000

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