Classification of seismic events in suez gulf area, egypt using artificial neural network

An automatic system has been developed to classijj the seismic events in the Suez Gulf area, Egypt. The system is based on Artificial Neural Network (ANN) and is composed of two modules; extracting a set of features that quantifies the seismogram signatures using Linear Predication Code (LPC) and a classifer to discriminate the seismic events The data used are a set of 320 seismic recorded by Egyptian National Seismic Network (ENSN); 142 records are explosions and 178 are local earthquakes. n e classification results have shown that the suggested system is eficient it provides a correct classijcation performance of 93.7%.