Neural Network-Based Approach for Identification of Meteorological Factors Affecting Regional Sea-Level Anomalies

AbstractThe geographically nonuniform sea-level change has increased the importance of assessing sea-level variability and the factors controlling it on regional scales. This study provides a framework, based on the rules governing an artificial neural network (ANN), to identify an ensemble of large...

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Veröffentlicht in:	Journal of hydrologic engineering 2017-03, Vol.22 (3)
1. Verfasser:	Majdzadeh Moghadam, Farhad
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Anomalies Artificial neural networks Learning theory Marine Neural networks Nonuniform Pruning Relative humidity Sea surface temperature Technical Papers
Online-Zugang:	Volltext
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