Welfare classification using CMAC neural networks

The aim of this study is to create an Artificial Neural Network (ANN) for the prediction of welfare classification of world countries using an application of the Cerebellar Model Articulation Controller (CMAC). Firstly, welfare ranking and its importance in the economy and the usage of the CMAC algorithm are introduced. In the methodology part, the application that uses CMAC is described and implemented. Trained data are put into the application before predicting the results. Finally, the results are discussed and some suggestions are supplied to be used for further studies.