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Application of artificial neural networks to paleoceanographic data
Uppsala University, Teknisk-naturvetenskapliga vetenskapsområdet, Earth Sciences, Department of Earth Sciences.
1997 (English)In: PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY, ISSN 0031-0182, Vol. 136, no 1-4, 359-373 p.Article in journal (Refereed) Published
Abstract [en]

Artificial neural networks are computer systems that have the ability to 'learn' a set of output, or target, vectors from a set of input vectors. Learning is achieved by self-adjustment of a set of parameters to minimize the error between a desired output

Place, publisher, year, edition, pages
ELSEVIER SCIENCE BV , 1997. Vol. 136, no 1-4, 359-373 p.
Keyword [en]
Indian Ocean; Quaternary; artificial intelligence; artificial neural networks; quantitative analysis; paleooceanography; paleoclimatology; temperature; PATTERN-RECOGNITION; PLEISTOCENE PALEOTEMPERATURES; PLANKTONIC FORAMINIFERA; PRINCIPAL COMPONENTS; INDI
URN: urn:nbn:se:uu:diva-27838OAI: oai:DiVA.org:uu-27838DiVA: diva2:55734
Addresses: Malmgren BA, GOTHENBURG UNIV, CTR EARTH SCI, DEPT EARTH SCI MARINE GEOL, S-41381 GOTHENBURG, SWEDEN. UPPSALA UNIV, INST EARTH SCI, S-75236 UPPSALA, SWEDEN.Available from: 2008-10-17 Created: 2008-10-17 Last updated: 2011-01-15

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