Artificial neural networks in environmental sciences and chemical engineering

• Type: Chapter or Part of a Book
• Date: 2011

Authors

Martins, FG (Author) FEUP; Goncalves, DJD (Author) Other; J. Peres (Author) FEUP

Book

Title: Focus on Artificial Neural Networks

Pages: 55-74

ISBN: 9781613242858

Indexing

Scopus - 0 Citations

Other information

Authenticus ID: P-008-YRX

Abstract (EN): Artificial neural networks have been used for a long time in a wide range of fields inside Environmental Sciences and Chemical Engineering. The main reason for this extensive utilization is the ability of this technique to model easily the complexity of the systems related with these fields, keeping most of the valuable original information about each system. The feedforward artificial neural networks are the most commonly used topology due to the inherent simple architecture, the diversity of the available training algorithms, and the good performances. Besides feedforward artificial neural networks, the self organizing maps, or also called Kohonen neural networks, have as well relevant applications. In Environmental Sciences, the most relevant applications appear in modelling for both environmental and biological processes. In Chemical Engineering, artificial neural networks have been applied mainly in: i) modelling; ii) control; and iii) development of software sensors. This chapter compiles several applications that have been published recently concerning the subjects referred above. A special attention is given to the relevance of the cases, the procedures/techniques, and the ability to be extrapolated to other applications.

Language: English

Type (Professor's evaluation): Scientific