Agent Based Prediction of Seismic Time Series Data

Abstract

In past formal statistical and evolutionary techniques have been successful in prediction of time series data. Traditional focus of these techniques encircled increase in reliability of results, consistency, accuracy and sustainability of overall system. Formal systems have been utilized to predict the earthquake structure and parameters that best fit into that structure. This research changes the orientation of traditional trends by introducing novel data quality and automation means to increase not only the accuracy but also the efficiency of prediction system. Data related to seismic activities in the geography related to Pakistan has been considered for experimentation. Moreover an intelligent methodology has been designed to achieve the desired results in an interactive manner.