Estimating the efficacy of a mathematical model of system...

Data processing: artificial intelligence – Machine learning

Reexamination Certificate

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C706S045000

Reexamination Certificate

active

07974933

ABSTRACT:
Estimating the overall efficacy of a mathematical model of system behavior involves providing a template representing factors that affect the overall efficacy of the mathematical model. A Bayesian Belief Network (BBN) having nodes based on the factors of the template is created and the BBN is used to obtain an estimate of the overall efficacy of the mathematical model of system behavior.

REFERENCES:
Chu, et al, Bayesian Support Vector Regression Using a Unified Loss Function, IEEE Transactions on Neural Networks, 2004, pp. 1-29.
Rajbally, T. Eshen, M. Eng. Hons., “Evaluating the Efficacy of Mathematically Modelling the Behaviour of Engineered Systems,” Thesis submitted for the degree of Doctor of Philosophy, Oct. 2005/Jul. 2006, University of Newcastle upon Tyne, Faculty of Science, Agriculture and Engineering, School of Marine Science and Technology,http://www-staff.lboro.ac.uk/˜ouer/index.html.
Balci, Osman, “Validation, Verification, and Testing Techniques Throughout the Life Cycle of a Simulation Study,” Proceedings of the 1994 Winter Simulation Conference, ed. J. D. Tew, S. Manivannan, D. A. Sadowski, and A. F. Seila, Lake Buena Vista, USA, 1994, pp. 215-220.
MacKenzie, Garth R., et al., “Verification Technology Potential with Different Modeling and Simulation Development and Implementation Paradigms,” Proceedings of the Foundations for V&V (Validation and Verification) in the 21st Century Workshop, Session A1, Oct. 2002, pp. A1-1 to A1-43, Laurel, Maryland, USA.
Oberkampf, William L., et al., “A New Methodology for the Estimation of Total Uncertainty in Computational Simulation,” Proceedings of the AIAA/ASME/ASCE/AHE/ASC Structures, Structural Dynamics, and Materials Conference and Exhibit, 1999, pp. 3061-3083, American Institute of Aeronautics and Astronautics AIAA-99-1612, St. Louis, MO., USA.
Druzdzel, Marek J., et al., “Building Probabilistic Networks: Where Do the Numbers Come From?,” IEEE (Institute of Electrical and Electronics Engineers) Transactions on Knowledge and Data Engineering, Jul.-Aug. 2000, pp. 481-486, vol. 12, No. 4, IEEE Computer Society, Los Alamitos, CA, USA.

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