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Volumn 15, Issue 1, 2004, Pages 189-194

Comparison of different classification algorithms for underwater target discrimination

Author keywords

K nearest neighbor (K NN) classifier; Neural networks; Probabilistic neural networks (PNNs); Support vector machines (SVMs); Underwater target classification

Indexed keywords

ACOUSTIC WAVE BACKSCATTERING; ALGORITHMS; NEURAL NETWORKS; UNDERWATER ACOUSTICS;

EID: 1242308779     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2003.820621     Document Type: Article
Times cited : (33)

References (15)
  • 1
    • 0034187786 scopus 로고    scopus 로고
    • Underwater target classification using wavelet packets and neural networks
    • May
    • M. R. Azimi-Sadjadi, D. Yao, Q. Huang, and G. J. Dobeck, "Underwater target classification using wavelet packets and neural networks," IEEE Trans. Neural Networks, vol. 11, pp. 784-794, May 2000.
    • (2000) IEEE Trans. Neural Networks , vol.11 , pp. 784-794
    • Azimi-Sadjadi, M.R.1    Yao, D.2    Huang, Q.3    Dobeck, G.J.4
  • 2
    • 0000246970 scopus 로고    scopus 로고
    • ARTMAP-FTR: A neural network for fusion target recognition with application to sonar classification
    • Orlando, FL, Apr.
    • G. A. Carpenter and W. W. Streilein, "ARTMAP-FTR: a neural network for fusion target recognition with application to sonar classification," in Proc. SPIE Int. Symp. Aerospace/Defense Sensing Control, vol. 3392, Orlando, FL, Apr. 1998, pp. 342-356.
    • (1998) Proc. SPIE Int. Symp. Aerospace/Defense Sensing Control , vol.3392 , pp. 342-356
    • Carpenter, G.A.1    Streilein, W.W.2
  • 4
    • 0029307876 scopus 로고
    • A k-nearest neighbor classification rule based on dempster-shafer theory
    • May
    • T. Denoeux, "A k-nearest neighbor classification rule based on dempster-shafer theory," IEEE Trans. Syst., Man, Cybern., vol. 25, pp. 804-813, May 1995.
    • (1995) IEEE Trans. Syst., Man, Cybern. , vol.25 , pp. 804-813
    • Denoeux, T.1
  • 5
    • 0025206332 scopus 로고
    • Probabilistic neural networks
    • D. F. Specht, "Probabilistic neural networks," Neural Networks, vol. 3, no. 1, pp. 109-118, 1990.
    • (1990) Neural Networks , vol.3 , Issue.1 , pp. 109-118
    • Specht, D.F.1
  • 6
    • 0002911395 scopus 로고    scopus 로고
    • Generalization accuracy of probabilistic neural networks compared with backpropogation networks
    • D. F. Specht and P. D. Shapiro, "Generalization accuracy of probabilistic neural networks compared with backpropogation networks," in Proc. IJCNN'91, July 1991, pp. 458-461.
    • Proc. IJCNN'91, July 1991 , pp. 458-461
    • Specht, D.F.1    Shapiro, P.D.2
  • 7
    • 0003425664 scopus 로고    scopus 로고
    • Support vector machines for classification and regression
    • Univ. Southampton, Southampton, U.K., ISIS Tech. Rep., May
    • S. Gunn, "Support vector machines for classification and regression," Univ. Southampton, Southampton, U.K., ISIS Tech. Rep., May 1998.
    • (1998)
    • Gunn, S.1
  • 8
    • 34249753618 scopus 로고
    • Support vector networks
    • C. Cortes and V. Vapnik, "Support vector networks," Mach. Learn., vol. 20, no. 3, pp. 273-297, 1995.
    • (1995) Mach. Learn. , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 12
    • 0028497290 scopus 로고
    • Maximum likelihood training of probabilistic neural networks
    • Sept.
    • R. L. Streit and T. E. Luginbuhl, "Maximum likelihood training of probabilistic neural networks," IEEE Trans. Neural Networks, vol. 5, pp. 764-783, Sept. 1994.
    • (1994) IEEE Trans. Neural Networks , vol.5 , pp. 764-783
    • Streit, R.L.1    Luginbuhl, T.E.2
  • 13
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm
    • A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the EM algorithm," J. Royal Stat. Soc., ser. B, vol. 39, pp. 1-38, 1977.
    • (1977) J. Royal Stat. Soc., Ser. B , vol.39 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 14
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • C. J. C. Burges, "A tutorial on support vector machines for pattern recognition," Data Mining Knowledge Discovery, vol. 2, no. 2, pp. 121-167, 1998.
    • (1998) Data Mining Knowledge Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.J.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.