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2003 | OriginalPaper | Buchkapitel

Multivariate Time Series Prediction of Marine Zooplankton by Artificial Neural Networks

verfasst von : C. H. Reick, A. Grünewald, B. Page

Erschienen in: Ecological Informatics

Verlag: Springer Berlin Heidelberg

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Most applications of Neural Networks are based on their high adaptivity to almost any set of given input-output relations (“patterns”). An example is pattern recognition: here, a usually complex input, e.g. a picture of a number, has to be mapped on a much simpler output, e.g. the binary representation of that number. Networks trained to reproduce such input-output relations can be used to identify a complex input from the much simpler output.

Metadaten
Titel
Multivariate Time Series Prediction of Marine Zooplankton by Artificial Neural Networks
verfasst von
C. H. Reick
A. Grünewald
B. Page
Copyright-Jahr
2003
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-662-05150-4_16