Title :
Welfare classification using CMAC neural networks
Author :
Igli Hakrama;İhsan Ömür Bucak;Özcan Asilkan
Author_Institution :
Epoka University, Department of Computer Engineering, Tirana, Albania
Abstract :
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.
Keywords :
"Training","Classification algorithms","Vectors","Economic indicators","Algorithm design and analysis","Indexes","Neural networks"
Conference_Titel :
Application of Information and Communication Technologies (AICT), 2011 5th International Conference on
Print_ISBN :
978-1-61284-831-0
DOI :
10.1109/ICAICT.2011.6111005