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Oil Spill Detection : A Case Study of Recurrent Artificial Neural Networks

Ziemke, Tom (author)
Högskolan i Skövde,Institutionen för datavetenskap
Bodén, Mikael (author)
Högskolan i Skövde,Institutionen för datavetenskap
Niklasson, Lars (author)
Högskolan i Skövde,Institutionen för datavetenskap
 (creator_code:org_t)
Skövde : University of Skövde, 1997
English.
Series: IDA Technical Reports ; HS-IDA-TR-97-001
  • Reports (other academic/artistic)
Abstract Subject headings
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  • 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.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Information Systems (hsv//eng)

Keyword

artificial neural networks
oil spill detection
recurrent networks
Computer and systems science
Data- och systemvetenskap

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rap (subject category)

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Ziemke, Tom
Bodén, Mikael
Niklasson, Lars
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NATURAL SCIENCES
NATURAL SCIENCES
and Computer and Inf ...
and Information Syst ...
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University of Skövde

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