Modeling Abstraction and Simulation Techniques
Final technical rept. Jun 1999-Apr 2002
MASSACHUSETTS UNIV BOSTON
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This final report contains the joint work of both University of Massachusetts and Boston University who were each funded under separate contracts. The objective of this effort has been to develop and study three novel complementary directions that may be summarized as follows 1. Extract information from the inherently slow simulation process of complex systems by exploiting new concurrent simulation techniques. 2. Exploit the hierarchical structure in multi-resolution models by decomposing them in ways which preserve statistical fidelity. 3. Explore the use of neural networks as complex simulation metamodels. The scope of the project has been to develop specific methodologies and algorithms based on the proposed new techniques that were developed and tested. In many cases, the benchmark problems studied are the same or extensions of the ones developed during our previous projects Enabling Technologies for Real-Time Simulation and Real-Time Simulation Technologies for Complex Systems.
- Statistics and Probability
- Test Facilities, Equipment and Methods