Multilayer feedforward networks are universal approximators
Neural Networks
An analysis of young people's use of and attitudes toward cell phones
Telematics and Informatics
How the mobile communication markets differ in China, the U.S., and Europe
Communications of the ACM - The disappearing computer
| Hi-index | 12.06 |
Information and communication technologies have recently become widely used, especially among the younger population. In this study, the factors affecting the preference of undergraduate students for prepaid or postpaid cell phone service plans were analyzed and a multi-layer perceptron type feed forward neural network model was developed to predict the preferences. Using the responses to the questionnaire administered to a group of undergraduate students in Istanbul University, the factors determining the preference for service plan were determined with @g2 test for independence. A classification model based on multi-layer perceptron type neural networks was developed. The classification accuracy of this model was compared to linear regression, LDA, QDA, Naive Bayes and decision tree approaches and shown to be superior.