RESEMBLANCE OF RAIN FALL IN BANGLADESH WITH CORRELATION DIMENSION AND NEURAL NETWORK LEARNING

Rain fall and Temperature are undoubtedly two important factors that balance water in the environment. Adequate study of the rain behavior helps to forecast it. The time series obtained from different stations of the country throughout the several years are collected and analyzed. The dynamics of ra...

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Veröffentlicht in:	American journal of applied sciences 2013-10, Vol.10 (10), p.1172-1180
Hauptverfasser:	Kabir, Abu Nasir Mohammad Enamul, Hasan, Hussain Muhammad Imran, Rashid, Mohd Abdur, Azmi, Azralmukmin, Hossain, Zakir, Shahjahan, Md
Format:	Artikel
Sprache:	eng
Schlagworte:	Dynamic tests Learning Mathematical models Neural networks Rain Similarity Stations Time series
Online-Zugang:	Volltext
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