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Oil Spill Detection: A Case Study of Recurrent Artificial Neural Networks
University of Skövde, School of Humanities and Informatics.
University of Skövde, School of Humanities and Informatics.
University of Skövde, School of Humanities and Informatics.
1997 (English)Report (Other academic)
Abstract [en]

This paper summarizes and analyzes the results of a case study of artificial neural networks for the detection of oil spills from radar imagery, which has been carried as a joint project between the Connectionist Research Group, University of Skövde, and Ericsson Microwave Systems AB, Mölndal, Sweden.

Abstract [en]

Annotation: A. Browne (ed.) Neural Network Analysis, Architectures and Applications, IOP Press, Bristol, UK.

Place, publisher, year, edition, pages
Skövde: Institutionen för kommunikation och information , 1997.
Series
IKI Technical Reports, HS-IDA-TR-97-001
Keyword [en]
artificial neural networks, oil spill detection, recurrent networks
National Category
Information Science
Identifiers
URN: urn:nbn:se:his:diva-1234OAI: oai:DiVA.org:his-1234DiVA: diva2:2367
Available from: 2008-06-17 Created: 2008-06-17 Last updated: 2010-04-08

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