An Empirical Model of Regional Growth using Adaptive Neuro-Fuzzy Inference System
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10.5120/19957-1784 |
Abhishek Pandey and Ashok K Sinha. Article: An Empirical Model of Regional Growth using Adaptive Neuro-Fuzzy Inference System. International Journal of Computer Applications 114(3):15-18, March 2015. Full text available. BibTeX
@article{key:article,
author = {Abhishek Pandey and Ashok K Sinha},
title = {Article: 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},
month = {March},
note = {Full text available}
}
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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