According to the theory of artificial neural networks,a preliminary study has been performed to test the ability of recognising seismic signals and phases by using artificial neural networks,and the phase recognition has been achieved for three-component recordings by using vector modulus of these seismic records as the network input.Results show that the method is very valid in the determination of seismic phases and arrivals,especially for high signalnoise ratio records.