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