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Reseach Article

An Empirical Model of Regional Growth using Adaptive Neuro-Fuzzy Inference System

by Abhishek Pandey, Ashok K Sinha
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 114 - Number 3
Year of Publication: 2015
Authors: Abhishek Pandey, Ashok K Sinha
10.5120/19957-1784

Abhishek Pandey, Ashok K Sinha . An Empirical Model of Regional Growth using Adaptive Neuro-Fuzzy Inference System. International Journal of Computer Applications. 114, 3 ( March 2015), 15-18. DOI=10.5120/19957-1784

@article{ 10.5120/19957-1784,
author = { Abhishek Pandey, Ashok K Sinha },
title = { An Empirical Model of Regional Growth using Adaptive Neuro-Fuzzy Inference System },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 114 },
number = { 3 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 15-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume114/number3/19957-1784/ },
doi = { 10.5120/19957-1784 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:51:42.435616+05:30
%A Abhishek Pandey
%A Ashok K Sinha
%T An Empirical Model of Regional Growth using Adaptive Neuro-Fuzzy Inference System
%J International Journal of Computer Applications
%@ 0975-8887
%V 114
%N 3
%P 15-18
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In India the socio-economic development of different states is spatially heterogeneous. The states can be broadly classified into three categories viz; developed, developing and underdeveloped. The development status of states falling under any one category is influenced by its socio-economic parameters. The earlier studies on regional development have analyzed the socio-economic data but no effort has been made to empirically establish the relationship among the variables in the data. . The proposed model presents an empirical model for estimating the socio-economic status of states based on Gross State Domestic Product (GSDP). The model correlating the GSDP with socio-economic parameters uses ANFIS tool for machine learning. The model so developed yields a reasonably acceptable result.

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Index Terms

Computer Science
Information Sciences

Keywords

Socio-economic parameters learning model ANFIS