Matlab Data Mining Toolbox for Store Separation Engineering
Agency / Branch:
DOD / USAF
The overall objective of our effort is to develop a Matlab toolbox that assists store separation engineers in analyzing datasets generated by the Monte Carlo simulations and the genetic algorithms using the statistical data mining approach, Bayesian learning, and multi-objective GA optimization. The statistical data mining approach not only provides a theoretically rigorous framework to analyze the data but it also makes interpretation of the results much more straightforward. The particular tasks to be conducted under this effort include (1) development of clustering algorithm functions, (2) development of statistical analysis tools for simulation and test data, (3) development of learning tools to adapt Monte Carlo results to flight test data, and (4) development of genetic algorithms for multi-objective optimization. The project team consists of Scientific Systems Company, Inc. (SSCI) as the prime contractor, and Dr. Robert Smith of The University of the West of England and Dr. Luis Roman of Worcester Polytechnic Institute as our consultants.
Small Business Information at Submission:
Raman K. Mehra
President and CEO
SCIENTIFIC SYSTEMS CO., INC.
500 West Cummings Park - Ste 3000 Woburn, MA 01801
Number of Employees: