Data Normalization to Accelerate Training for Linear Neural Net to Predict Tropical Cyclone Tracks

When pure linear neural network (PLNN) is used to predict tropical cyclone tracks (TCTs) in South China Sea, whether the data is normalized or not greatly affects the training process. In this paper, min.-max. method and normal distribution method, instead of standard normal distribution, are applie...

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Veröffentlicht in:	Mathematical problems in engineering 2015-01, Vol.2015 (2015), p.1-8
Hauptverfasser:	Jin, Jian, Jin, Long, Li, Ming
Format:	Artikel
Sprache:	eng
Schlagworte:	Bias Cyclones Datasets Experiments Intervals Mapping Mathematical models Mathematical problems Neural networks Normal distribution Nuclear power plants Standard deviation Time series Training Variables
Online-Zugang:	Volltext
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