Research Article
An Empirical Model of Regional Growth using Adaptive Neuro-Fuzzy Inference System
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 114 - Issue 3 |
| Published: March 2015 |
| Authors: Abhishek Pandey, Ashok K Sinha |
10.5120/19957-1784
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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 },
year = { 2015 },
volume = { 114 },
number = { 3 },
pages = { 15-18 },
doi = { 10.5120/19957-1784 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Abhishek Pandey
%A Ashok K Sinha
%T An Empirical Model of Regional Growth using Adaptive Neuro-Fuzzy Inference System%T
%J International Journal of Computer Applications
%V 114
%N 3
%P 15-18
%R 10.5120/19957-1784
%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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