Abstract:

As a result of the increase of people's living standards, the number of vehicles has increased. The increasing number of vehicles has led to an increase in traffic density. Thus, an increased risk of accident and motor own damage insurance has led to their becoming mandatory. The insurance companies, taking into account the rate of profit, the race began to propose the most affordable prices for customers. At the same time, the companies must bid a fair price. The companies can achieve by making risk analysis of their customers. In this study, we aimed a modeldevelopment to do customers risk analysis for insurance companies. Artificial neural network was used for this risk analysis by determining the167 policy data of an insurance company in Turkey. Neural network was used nearly 126 for the training and 41 for the testing of a total 167 policies. As the input of neural networks, 12 parameters were used related to driver and vehicle, the estimate gross premiums as an output parameter. Our model calculated with 93% accuracy for education when calculating with 92% accuracy for testing on gross premiums cost of the policy by using the Matlab Toolbox. These results have shown that developed system can be used to calculate the amount of gross premiums of insurance policies and to analyse the customers

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