Open AccessReply
Author(s) -
Vladimir M. Krasnopolsky,
Michael S. FoxRabinovitz,
Dmitry Chalikov
Publication year - 2005
Publication title -
monthly weather review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.862
H-Index - 179
eISSN - 1520-0493
pISSN - 0027-0644
DOI - 10.1175/mwr3079.1
Subject(s) - artificial neural network , computer science , field (mathematics) , artificial intelligence , machine learning , data science , mathematics , pure mathematics
This reply is aimed at clarifying and further discussing the methodological aspects of this neural network application for a better understanding of the technique by the journal readership. The similarities and differences of two approaches and their areas of application are discussed. These two approaches outline a new interdisciplinary field based on application of neural networks (and probably other modern machine or statistical learning techniques) to significantly speed up calculations of time-consuming components of atmospheric and oceanic numerical models