Abstract: In the world, scientific studies increase day by day and computer programs facilitate the human’s life.
Scientists examine the human’s brain’s neural structure and they try to be model in the computer and they give
the name of artificial neural network. For this reason, they think to develop more complex problem’s solution. The
purpose of this study is to estimate fuel economy of an automobile engine by using artificial neural network (ANN)
algorithm. Engine characteristics were simulated by using “Neuro Solution” software. The same data is used in
MATLAB to compare the performance of MATLAB is such a problem and show its validity. The cylinder,
displacement, power, weight, acceleration and vehicle production year are used as input data and miles per
gallon (MPG) are used as target data. An Artificial Neural Network model was developed and 70% of data were
used as training data, 15% of data were used as testing data and 15% of data is used as validation data. In
creating our model, proper neuron number is carefully selected to increase the speed of the network. Since the
problem has a nonlinear structure, multi layer are used in our model.
Keywords: Artificial Neural Network, Fuel Economy
PERFORMANCE COMPARISON OF MATLAB AND NEURO SOLUTION SOFTWARE
ON ESTIMATION OF FUEL ECONOMY BY USING ARTIFICIAL NEURAL NETWORK
Hakan Serhad Soyhan, Mehmet Emre Kilic, Burak Gokalp, Imdat Taymaz