1997
DOI: 10.1016/s0031-0182(97)00031-x
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Application of artificial neural networks to paleoceanographic data

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Cited by 104 publications
(58 citation statements)
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“…For the purpose of salinity estimations it was decided to use the Artificial Neuronal Network technique (ANN; Malmgren, Nordlund 1997). In spite of rare usage of ANN in micropalaeontological studies, however, it provides good results considered to be better estimate than statistical methods as for example Imbrie and Kipp Method (IKM) or Modern Analogue Technique (MAT; Chen et al 2005).…”
Section: Methodsmentioning
confidence: 99%
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“…For the purpose of salinity estimations it was decided to use the Artificial Neuronal Network technique (ANN; Malmgren, Nordlund 1997). In spite of rare usage of ANN in micropalaeontological studies, however, it provides good results considered to be better estimate than statistical methods as for example Imbrie and Kipp Method (IKM) or Modern Analogue Technique (MAT; Chen et al 2005).…”
Section: Methodsmentioning
confidence: 99%
“…The ANN was found to be applicable for gas and oil exploration, in military techniques, in medicine or economy. For palaeoceanographic purposes the ANN was initially tested and applied by Malmgren and Nordlund (1997).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Although extremely different in their numerical computations and algorithms, artificial neural networks (ANN) have identical mathematical properties when applied to palaeoenvironmental reconstructions. Malmgren and Nordlund (1997), Malmgren et al (2001), Burrows et al (2005), and Kucera et al (2005) describe the use of ANN in marine sea-surface temperature reconstructions; Peyron et al (1998Peyron et al ( , 2000Peyron et al ( , 2005, Tarasov et al (1999aTarasov et al ( , 1999b, and Guiot et al (1996) provide examples of their use with terrestrial pollen data; and Racca et al (2001; discuss ANN applications in palaeolimnology. Telford and Birks (2005) show that in crossvalidation tests with a truly independent test-set, MAT and ANN perform poorly as both involve estimating smooth local functions.…”
Section: The Assemblage Approach Basic Principlesmentioning
confidence: 99%
“…The ANN method relies upon the abundances of members of a suite of planktonic foraminifera in order to provide quantitative SST information. A description of this technique can be found in Malmgren and Nordlund (1997).…”
Section: Other Site 723 Recordsmentioning
confidence: 99%