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Lance Champagne
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Search theory, agent-based simulation, and u-boats in the Bay of Biscay
Champagne, Carl
Proceedings of the 2003 Winter Simulation Conference, 2003. 1, 991-998 Vol. 1, 2003
662003
Using agent-based simulation to empirically examine search theory using a historical case study
RR Hill, RG Carl, LE Champagne
Journal of Simulation 1, 29-38, 2006
44*2006
Using agent-based simulation and game theory to examine the WWII Bay of Biscay U-boat campaign
RR Hill, LE Champagne, JC Price
The Journal of Defense Modeling and Simulation 1 (2), 99-109, 2004
442004
A simulation validation method based on bootstrapping applied to an agent-based simulation of the Bay of Biscay historical scenario
LE Champagne, RR Hill
The Journal of Defense Modeling and Simulation 6 (4), 201-212, 2009
182009
Development approaches coupled with verification and validation methodologies for agent-based mission-level analytical combat simulations
LE Champagne
Air Force Institute of Technology, 2004
162004
Agent-model validation based on historical data
LE Champagne, RR Hill
2007 Winter Simulation Conference, 1223-1231, 2007
92007
Bay of Biscay: Extensions into modern military issues
Champagne
Proceedings of the 2003 Winter Simulation Conference, 2003. 1, 1004-1012 Vol. 1, 2003
92003
Simulation validation with historic outcomes
LE Champagne, RR Hill
Proceedings of the Winter Simulation Conference, 2005., 10 pp., 2005
82005
Multi-agent simulation analysis: Bay of Biscay case study
L Champagne, R Hill
Proceedings of SimTecT 2003, 26-29, 2003
72003
Meta-heuristic optimization methods for quaternion-valued neural networks
J Bill, L Champagne, B Cox, T Bihl
Mathematics 9 (9), 938, 2021
62021
Simulating maritime chokepoint disruption in the global food supply
R Walton, JO Miller, L Champagne
2019 Winter Simulation Conference (WSC), 1708-1718, 2019
62019
Multi-agent techniques: Hunting U-boats in the Bay of Biscay
L Champagne, RG Carl, R Hill
Proceedings of SimTecT 2003, 26-29, 2003
62003
A comparison of quaternion neural network backpropagation algorithms
J Bill, BA Cox, L Champagne
Expert Systems with Applications 232, 120448, 2023
32023
Sortie-based aircraft component demand rate to predict requirements
TR O'Neal, JM Dickens, LE Champagne, AV Glassburner, JR Anderson, ...
Journal of Defense Analytics and Logistics 5 (2), 214-223, 2021
32021
Agent-based modeling with game theory constructs
R Hill, JC Price, LE Champagne
SUMMER COMPUTER SIMULATION CONFERENCE, 30-38, 2003
3*2003
History of Simulation
BP Zeigler, BB Nicolau de França, VV Graciano Neto, RR Hill, ...
Body of Knowledge for Modeling and Simulation: A Handbook by the Society for …, 2023
22023
The Effects of Aircraft Use and Available Repair Spares on Aircraft Sortie Generation: A Long-Duration Logistical Wargaming SimulationTool
NM Choo
22020
A simulation approach to address MQ-9 flying training unit manning shortfalls
T Talafuse, L Champagne, E Gilts
2019 Winter Simulation Conference (WSC), 2503-2514, 2019
22019
Benefits of using blended generative adversarial network images to augment classification model training data sets
BJ McCloskey, BA Cox, L Champagne, TJ Bihl
The Journal of Defense Modeling and Simulation, 15485129231170225, 2023
12023
Bayesian augmentation of deep learning to improve video classification
E Swize, L Champagne, B Cox, T Bihl
12022
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Artiklar 1–20