Applications of artificial neural networks in chemical engineering

Authors
Citation
Dm. Himmelblau, Applications of artificial neural networks in chemical engineering, KOR J CHEM, 17(4), 2000, pp. 373-392
Citations number
229
Categorie Soggetti
Chemical Engineering
Journal title
KOREAN JOURNAL OF CHEMICAL ENGINEERING
ISSN journal
02561115 → ACNP
Volume
17
Issue
4
Year of publication
2000
Pages
373 - 392
Database
ISI
SICI code
0256-1115(200007)17:4<373:AOANNI>2.0.ZU;2-I
Abstract
A growing literature within the field of chemical engineering describing th e use of artificial neural networks (ANN) has evolved for a diverse range o f engineering applications such as fault detection, signal processing, proc ess modeling, and control. Because ANN are nets of basis functions, they ca n provide good empirical models of complex nonlinear processes useful for a wide variety of purposes. This article describes certain types of neural n etworks that have proved to be effective in practical applications, mention s the advantages and disadvantages of using them, and presents four detaile d chemical engineering applications. In the competitive field of modeling, ANN have secured a niche that now, after one decade, seems secure.