Patent Document ID: 5490062
Application ID: 08241060
Patent Flag: 1

Claim One:
1. A method for predicting an earthquake profile, comprising: training an artificial neural network (ANN), comprising: inputting at least one seismogram into the ANN to produce an output; calculating an error between the ANN output and the seismogram; adjusting the internal weights of the ANN to reduce the error in the calculating step; repeating the preceding steps until the error is reduced to a level where the ANN can generalize sufficiently to produce an accurate output for a previously unseen input; detecting an earthquake with three mutually orthogonal ground motion detectors which will produce real-time earthquake data; transmitting into the ANN the real-time earthquake data from the three mutually orthogonal ground motion detectors; and feedforwarding the real-time earthquake data in the ANN to produce a predicted earthquake profile.