Estimating of Loss Human Life Caused Through Earthquake Employing Neural Network

As a matter of fact, the estimated loss of the human life caused by the earthquake is a crucial issue. This estimate helped to administrators in planning for the preventive measures or the crisis management after the earthquake. In this article, we represented a new model for measuring the loss of human life utilizing the self-organizing competitive neural networks. In the latest model, the neural network is initially trained via the given trainings of the parameters of the earthquake depth, magnitude, the maximum of the ground acceleration, speed vibration, duration of the earthquake, the intensity of the earthquake, the mechanism of the earthquake and etc. Then, this procedure used to predict and estimate the loss of human life. In fact, the recent educational model was experimented on the region 3 of Esfahan. Nevertheless, the total results can thoroughly show that Isfahan province can be classified as the third class of vulnerability against the earthquake.

Keywords:

Earthquakes , Loss of Human Life , Neural Networks , Estimates , Notions