In this paper an Artificial Neural Network (ANN) model was used to help cars dealers
recognize the many characteristics of cars, including manufacturers, their location and
classification of cars according to several categories including: Make, Model, Type,
Origin, DriveTrain, MSRP, Invoice, EngineSize, Cylinders, Horsepower, MPG_Highway,
Weight, Wheelbase, Length. ANN was used in prediction of the number of miles per
gallon when the car is driven in the city(MPG_City). The results showed that ANN model
was able to predict MPG_City with 97.50 % accuracy. The factor of DriveTrain has the
most influence on MPG_City evaluation. Similar studies can be carried out for the
evaluation of other characteristics of cars
