Inversion of Neural Network Underwater Acoustic Model for Estimation of Bottom Parameters Using Modified Particle Swarm Optimizers

Proceedings of the International Joint Conference on Neural Networks

Volumn 2, Issue , 2003, Pages 1301-1306

  Thompson, Benjamin B ^a   Marks II, Robert J ^a   El Sharkawi, Mohamed A ^a   Fox, Warren J ^a,b   Miyamoto, Robert T ^a,b  

^a University of Washington   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COMPUTATIONAL METHODS; ERROR ANALYSIS; FUZZY SETS; GRADIENT METHODS; MATHEMATICAL MODELS; NEURAL NETWORKS; OPTIMIZATION; PARAMETER ESTIMATION; SONAR;

GRADIENT-APPROXIMATION METHODS;

UNDERWATER ACOUSTICS;

EID: 0141795432     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Jensen, F. B., W. A. Kuperman, M. B. Porter, and H. Schmidt, Computational Ocean Acoustics. New York: Springer Verlag, 2000.
2. Jensen, C.A.; Reed, R.D.; Marks, R.J., II; El-Sharkawi, M.A.; Jae-Byung Jung; Miyamoto, R.T.; Anderson, G.M.; Eggen, C.J., "Inversion of feedforward neural networks: algorithms and applications", Proceedings of the IEEE, Volume: 87 9, Sept. 1999, pp. 1536-1549
3. Dosso, S., "Geoacoustic Inversion and Appraisal," OCEANS 2000 MTS/IEEE Conference and Exhibition, Volume: 1, 2000 pp. 423-428.
4. st Century, Volume: 1, 1999, pp. 446-451.
5. Fox, W. L. J., M. U. Hazen, C. J. Eggen, R. J. Marks II, and M. A. El-Sharkawi, "Environmentally adaptive sonar control in a tactical setting," in Impact of Littoral Environmental Variability on Acoustic Predictions and Sonar Performance (N. G. Pace and F. B. Jensen, eds.), pp. 595-602, Sept.2002.
6. Eberhart, R., and Kennedy, J., "Particle Swarm Optimization," 1995 Proceedings of the IEEE Conference on Neural Networks, Volume: 4, 1995. pp. 1942-1948.
7. Eberhart, R., and Shi, Y., "A Modified Particle Swarm Optimizer," Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on, 4-9 May 1998 pp. 69-73
8. Reed, R. D., and Marks, R. J. II, Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks, MIT Press, Cambridge, MA, 1999.
9. Mann, T., et al., "Preprocessing Neural Network Outputs For Improved Tolerance To Error," 2003 Proceedings of the IEEE International Joint Conference on Neural Networks, forthcoming.