PaleoNet: new software for building, evaluating and applying neural network based transfer functions in paleoecology

Transfer functions that implement organism-environment relationships are now commonly used for inferring past environmental conditions in paleoecology. Specific software for developing and evaluating commonly used modelling techniques such as Weighted averaging (WA), Weighted averaging partial least...

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Bibliographic Details
Published in:Journal of paleolimnology 2007-10, Vol.38 (3), p.467-472
Main Authors: Racca, Julien M. J., Racca, Robert, Pienitz, Reinhard, Prairie, Yves T.
Format: Article
Language:English
Subjects:
Environmental conditions
Neural networks
Paleoecology
Studies
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Summary:Transfer functions that implement organism-environment relationships are now commonly used for inferring past environmental conditions in paleoecology. Specific software for developing and evaluating commonly used modelling techniques such as Weighted averaging (WA), Weighted averaging partial least square (WA-PLS), Maximum likelihood (ML), and Modern analog technique (MAT) are available. A new software programme, PaleoNet, is now available for modelling organism-environment relationships which is specifically designed for the development and the evaluation of artificial neural network (ANN) based transfer functions in paleoecology. Here we present the main characteristics of this new software PaleoNet (User guide version 1.01) and discuss in more detail one of its specific features: the pruning.[PUBLICATION ABSTRACT]
ISSN:0921-2728
1573-0417
DOI:10.1007/s10933-006-9082-x