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Resemblance of rain fall in Bangladesh with correlation dimension and neural network learning

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Main Authors: Abu Nasir, Mohammad Enamul Kabir, Hussain Muhammad Imran, Hasan, Mohd Abdur Rashid, Dr., Azralmukmin, Azmi, Md. Zakir, Hossain, Md. Shahjahan
Other Authors: abdurrashid@unimap.edu.my
Format: Article
Language:English
Published: Science Publication 2014
Subjects:
Complexity
Learning and prediction
Neural network
Rain fall
Time series analysis
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/33889
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spelling my.unimap-338892014-04-21T08:17:49Z Resemblance of rain fall in Bangladesh with correlation dimension and neural network learning Abu Nasir, Mohammad Enamul Kabir Hussain Muhammad Imran, Hasan Mohd Abdur Rashid, Dr. Azralmukmin, Azmi Md. Zakir, Hossain Md. Shahjahan abdurrashid@unimap.edu.my azralmukmin@unimap.edu.my Complexity Learning and prediction Neural network Rain fall Time series analysis Link to publisher's homepage at http://thescipub.com/ 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 rain fall time series is analyzed with Correlation Dimension (CD) to characterize the several zones of Bangladesh. In addition a Neural Network (NN) predictor model was designed to realize complexity of rain fall. We found the interesting similarity between CD and NN predictor. The findings are useful in explaining why several zones show behavioral regularity and change. 2014-04-21T08:17:49Z 2014-04-21T08:17:49Z 2013-10 Article American Journal of Applied Sciences, vol. 10(10), 2013, pages 1172-1180 1546-9239 http://thescipub.com/abstract/10.3844/ajassp.2013.1172.1180 http://dspace.unimap.edu.my:80/dspace/handle/123456789/33889 en Science Publication
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Complexity
Learning and prediction
Neural network
Rain fall
Time series analysis
spellingShingle Complexity
Learning and prediction
Neural network
Rain fall
Time series analysis
Abu Nasir, Mohammad Enamul Kabir
Hussain Muhammad Imran, Hasan
Mohd Abdur Rashid, Dr.
Azralmukmin, Azmi
Md. Zakir, Hossain
Md. Shahjahan
Resemblance of rain fall in Bangladesh with correlation dimension and neural network learning
description Link to publisher's homepage at http://thescipub.com/
author2 abdurrashid@unimap.edu.my
author_facet abdurrashid@unimap.edu.my
Abu Nasir, Mohammad Enamul Kabir
Hussain Muhammad Imran, Hasan
Mohd Abdur Rashid, Dr.
Azralmukmin, Azmi
Md. Zakir, Hossain
Md. Shahjahan
format Article
author Abu Nasir, Mohammad Enamul Kabir
Hussain Muhammad Imran, Hasan
Mohd Abdur Rashid, Dr.
Azralmukmin, Azmi
Md. Zakir, Hossain
Md. Shahjahan
author_sort Abu Nasir, Mohammad Enamul Kabir
title Resemblance of rain fall in Bangladesh with correlation dimension and neural network learning
title_short Resemblance of rain fall in Bangladesh with correlation dimension and neural network learning
title_full Resemblance of rain fall in Bangladesh with correlation dimension and neural network learning
title_fullStr Resemblance of rain fall in Bangladesh with correlation dimension and neural network learning
title_full_unstemmed Resemblance of rain fall in Bangladesh with correlation dimension and neural network learning
title_sort resemblance of rain fall in bangladesh with correlation dimension and neural network learning
publisher Science Publication
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/33889
_version_ 1643797327190687744
score 13.214268

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