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Selection of Parameters and Architecture of Multilayer Perceptrons for Predicting Ice Coverage of Lakes Cover

Selection of Parameters and Architecture of Multilayer Perceptrons for Predicting Ice Coverage of Lakes

Ekológia (Bratislava)
Volume 36 (2017): Issue 3 (September 2017)
By: Nikolaevich Vyacheslav Baklagin  
Open Access
|Sep 2017
Authors

Authors

Nikolaevich Vyacheslav Baklagin

slava.baklagin@mail.ru

Northern Water Problems Institute, Karelian Research Centre, Russian Academy of Sciences, Petrozavodsk, Russian Federation
DOI: https://doi.org/10.1515/eko-2017-0019 | Journal eISSN: 1337-947X | Journal ISSN: 1335-342X
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Language: English
Page range: 226 - 234
Published on: Sep 23, 2017
Published by: Slovak Academy of Sciences, Institute of Landscape Ecology
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Freeze-up phase,
Break-up phase,
Lake Onega,
training sample,
statistical methods
Related subjects:
Life sciences,
Ecology,
Life sciences, other,
Chemistry,
Environmental chemistry,
Geosciences,
Geography

© 2017 Nikolaevich Vyacheslav Baklagin, published by Slovak Academy of Sciences, Institute of Landscape Ecology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 36 (2017): Issue 3 (September 2017)
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