Ranking of the Districts of Madhya Pradesh using Artificial Neural Network – Maternal and Child Health Care and Welfare Perspectives

Authors : B S Kambo, Dr. Kulwinder Kaur, Gurinder Singh.

Volume/Issue : Volume 4 - 2019, Issue 5 - May

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://bit.ly/2WPqwSm

An analysis has been made to classify all district of the Madhya Pradesh according to maternal and childcare and welfare perspectives. Districts have been classified into four level of development depending upon the values of the principal component as well as Neural Network from 32 indicators considered in the study. Ranking of the district of Madhya Pradesh shows that Indore district has the highest development index whereas Tikamgar having lowest. It has been observed beyond doubt that 12 out of 45 districts have come under the category of backward, 10 in the category of underdeveloped ,11developing and 12 in the developed category, showing thereby that large regional disparity exist with respects to Maternal and child Health care in the level of development in the state.

Keywords : AHS, Principal Component, ANN, MLP, Activation Function, Classification.


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