Separating wheat from chaff: Diatom taxon selection using an artificial neural network pruning algorithm

• Main Authors: Racca, JMJ, Wild, M, Birks, HJB, Prairie, YT
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: KLUWER ACADEMIC PUBL 2003
• Subjects: Artificial Neural Networks; diatom; model robustness; pruning; taxa contribution; PARTIAL LEAST-SQUARES; PAST ENVIRONMENTAL-CONDITIONS; CHRYSOPHYTE CYST ASSEMBLAGES; QUANTITATIVE INDICATORS; INFERENCE MODELS; PALEOENVIRONMENTAL RECONSTRUCTIONS; NORTHERN SWEDEN; ISLAND LAKES; WA-PLS; CALIBRATION; Island Lakes; Northern Sweden
• Online Access: http://discovery.ucl.ac.uk/155448/

This study addresses the question of what diatom taxa to include in a modem calibration set based on their relative contribution in a palaeolinmological calibration model. Using a pruning algorithm for Artificial Neural Networks (ANNs) which determines the functionality of individual taxa in terms o...