AUTOMATED SEISMIC ANALYSIS USING SUPERVISED MACHINE LEARNING

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: N/A
Agency Tracking Number: 15293
Amount: $49,925.00
Phase: Phase I
Program: SBIR
Awards Year: 1991
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
Ensco Inc
5400 Port Royal Road, Springfield, VA, 22151
DUNS: N/A
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Zoltan Der
 Principal Investigator
 (703) 321-9000
Business Contact
Phone: () -
Research Institution
N/A
Abstract
THE SBIR PHASE I PROJECT PROPOSED CONSISTS OF THE TESTING OF THE CLASSIFICATION PERFORMANCE OF SEVERAL RELATED MACHINE LEARNING METHODS TO SEISMIC DISCRIMINATION. SEVERAL OTHER APPLICATIONS OF THESE METHODS ARE ALSO SUGGESTED. IN THE APPLICATION TO DISCRIMINATION, THE FOLLOWING DATA SETS WILL BE USED: REGIONAL ARRAY DATA FOR EARTHQUAKES AND QUARRY BLASTS IN THE SCANDINAVIAN REGIONS, IRIS DATA RECORDED IN THE USSR AND SELECTED DATA SETS USED PREVIOUSLY TO DEDUCE DISCRIMINANTS. THE PERFORMANCE OF THESE TECHNIQUES WILL BE EVALUATED BY VARIOUS DATA PARTITIONING AND RESAMPLING METHODS. THE OBJECTIVE OF THIS RESEARCH IS TO MAKE USE OF THE EXTENSIVE PARAMETRIC DATA GENERATED BY THE IMS. BY GENERATING NEW RULES FROM THE DATA BY THE MACHINELEARNING ALGORITHMS AND INCLUDING THEM IN THE SYSTEM, THE COGNITIVE CAPABILITIES OF THE IMS CAN BE CONTINUOUSLY UPGRADED. THE AUTOMATIC DISCRIMINATION SCHEMES TO BE TESTED AND DEVELOPED UNDER THIS PROJECT CAN BE INCORPORATED INTO THE IMS AND UPGRADED CONTINUOUSLY AS NEW DATA BECOME AVAILABLE. THIS WOULD LEAD TO THE ANTICIPATED BENEFIT OF CONTINUOUS IMPROVEMENT OF THE DISCRIMINATION CAPABILITY OF IMS.

* information listed above is at the time of submission.

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