Automated modeling of the guidance of a K-9

Proceedings of the American Control Conference

Volumn , Issue , 2008, Pages 2467-2474

  Britt, Winard ^a   Bevly, David M ^a   Dozier, Gerry ^b  

^a AUBURN UNIVERSITY   (United States)

^b North Carolina Agricultural and Technical State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FOOD PROCESSING;

AUTOMATED MODELLING; FALSE NEGATIVES; FALSE POSITIVES; GENERAL REGRESSION NEURAL NETWORK; HUMAN GUIDANCE; SIGNAL INFORMATIONS; SYSTEM PARAMETERS; TEST INSTANCES; TRAINING DATA; TRAINING INSTANCES;

NEURAL NETWORKS;

EID: 52449087002     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACC.2008.4586861     Document Type: Conference Paper

References (8)

1. D. Specht, A General Regression Neural Network, IEEE Transactions on Neural Networks 2 (1991) 568-576.
2. X. Xu, H.-G. He, Neural-Network-Based Learning Control for the High-Speed Path Tracking of Unmanned Ground Vehicles, in: Proceedings of the 2002 International Conference on Machine Learning and Cybernetics, Vol. 3, 2002, pp. 1652-1656.
3. D. Helweg, H. Roitblat, P. Nachtigall, Using a Biomimetric Neural Net to Model Dolphin Echolocation, in: Proceedings of the First New Zealand International Conference on Two-Stream Artificial Neural Networks and Expert Systems, 1993, pp. 247-251.
4. D. Calvert, E. Bajar, D. Stacey, J. Thomason, Analysis of Equine Gait Through Strain Measurement, in: Proceedings of the 25th International Conference of Engineering in Medicine and Biology Society, Vol. 3, 2003, pp. 2370-2373.
5. S. Haykin, Neural Networks: A Comprehensive Foundation, 2nd Edition, Prentice Hall, Upper Saddle River, New Jersey, 1999.
6. D. Golberg, Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley Publishing Company, Inc., Reading, Massachusetts, 1989.
7. S. Russell, P. Norvig, Artifical Intelligence: A Modern Approach, 2nd Edition, Prentice Hall, 2003.
8. S. Forrest, M. Mitchell, Relative building-block fitness and the building-block hypothesis, in: L. D. Whitley (Ed.), Foundations of Genetic Algorithms 2, Morgan Kaufmann, San Mateo, CA, 1993, pp. 109-126.