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An application of the neural network energy function to machine sequencing

โœ Scribed by Komgrit Leksakul; Anulark Techanitisawad


Publisher
Springer-Verlag
Year
2005
Tongue
English
Weight
190 KB
Volume
2
Category
Article
ISSN
1619-697X

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A neural network with two hidden layers is developed to forecast typhoon rainfall. First, the model configuration is evaluated using eight typhoon characteristics. The forecasts for two typhoons based on only the typhoon characteristics are capable of showing the trend of rainfall when a typhoon is