Artificial neural network model with the parameter tuning assisted by a differential evolution technique: the study of the hold up of the slurry flow in a pipeline
This paper describes a robust hybrid artificial neural network (ANN) methodology which can offer a superior performance for the important process engineering problems. The method incorporates a hybrid artificial neural network and differential evolution technique (ANN-DE) for the efficient tuning of...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Association of the Chemical Engineers of Serbia
2009-05-01
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| Series: | Chemical Industry and Chemical Engineering Quarterly |
| Subjects: | |
| Online Access: | http://www.ache.org.rs/CICEQ/2009/No2/CICEQ_Vol15_%20No2_pp103-117_Apr-Jun_2009.pdf |