Indian summer monsoon rainfall (ISMR) forecasting using time series data: A fuzzy-entropy-neuro based expert system

This study presents a model to forecast the Indian summer monsoon rainfall (ISMR) (June–September) based on monthly and seasonal time scales. The ISMR time series data sets are classified into two parts for modeling purposes, viz., (1) training data set (1871–1960), and (2) testing data set (1961–20...

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Main Author: Pritpal Singh
Format: Article
Language:English
Published: Elsevier 2018-07-01
Series:Geoscience Frontiers
Online Access:http://www.sciencedirect.com/science/article/pii/S1674987117301408
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author Pritpal Singh
author_facet Pritpal Singh
author_sort Pritpal Singh
collection DOAJ
description This study presents a model to forecast the Indian summer monsoon rainfall (ISMR) (June–September) based on monthly and seasonal time scales. The ISMR time series data sets are classified into two parts for modeling purposes, viz., (1) training data set (1871–1960), and (2) testing data set (1961–2014). Statistical analyzes reflect the dynamic nature of the ISMR, which couldn't be predicted efficiently by statistical and mathematical based models. Therefore, this study suggests the usage of three techniques, viz., fuzzy set, entropy and artificial neural network (ANN). Based on these techniques, a novel ISMR time series forecasting model is designed to deal with the dynamic nature of the ISMR. This model is verified and validated with training and testing data sets. Various statistical analyzes and comparison studies demonstrate the effectiveness of the proposed model. Keywords: Indian summer monsoon rainfall (ISMR), Fuzzy set, Entropy, Artificial neural network (ANN), Forecasting
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spelling doaj.art-234470b63f834d67940226f93f2e34232023-08-02T00:59:34ZengElsevierGeoscience Frontiers1674-98712018-07-019412431257Indian summer monsoon rainfall (ISMR) forecasting using time series data: A fuzzy-entropy-neuro based expert systemPritpal Singh0Smt. Chandaben Mohanbhai Patel Institute of Computer Applications, CHARUSAT Campus, Changa, Anand 388421, Gujarat, IndiaThis study presents a model to forecast the Indian summer monsoon rainfall (ISMR) (June–September) based on monthly and seasonal time scales. The ISMR time series data sets are classified into two parts for modeling purposes, viz., (1) training data set (1871–1960), and (2) testing data set (1961–2014). Statistical analyzes reflect the dynamic nature of the ISMR, which couldn't be predicted efficiently by statistical and mathematical based models. Therefore, this study suggests the usage of three techniques, viz., fuzzy set, entropy and artificial neural network (ANN). Based on these techniques, a novel ISMR time series forecasting model is designed to deal with the dynamic nature of the ISMR. This model is verified and validated with training and testing data sets. Various statistical analyzes and comparison studies demonstrate the effectiveness of the proposed model. Keywords: Indian summer monsoon rainfall (ISMR), Fuzzy set, Entropy, Artificial neural network (ANN), Forecastinghttp://www.sciencedirect.com/science/article/pii/S1674987117301408
spellingShingle Pritpal Singh
Indian summer monsoon rainfall (ISMR) forecasting using time series data: A fuzzy-entropy-neuro based expert system
Geoscience Frontiers
title Indian summer monsoon rainfall (ISMR) forecasting using time series data: A fuzzy-entropy-neuro based expert system
title_full Indian summer monsoon rainfall (ISMR) forecasting using time series data: A fuzzy-entropy-neuro based expert system
title_fullStr Indian summer monsoon rainfall (ISMR) forecasting using time series data: A fuzzy-entropy-neuro based expert system
title_full_unstemmed Indian summer monsoon rainfall (ISMR) forecasting using time series data: A fuzzy-entropy-neuro based expert system
title_short Indian summer monsoon rainfall (ISMR) forecasting using time series data: A fuzzy-entropy-neuro based expert system
title_sort indian summer monsoon rainfall ismr forecasting using time series data a fuzzy entropy neuro based expert system
url http://www.sciencedirect.com/science/article/pii/S1674987117301408
work_keys_str_mv AT pritpalsingh indiansummermonsoonrainfallismrforecastingusingtimeseriesdataafuzzyentropyneurobasedexpertsystem