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Volumn 2005, Issue , 2005, Pages 123-130

Classifying sonar returns for the presence of mines: Evolving neural networks and evolving rules

Author keywords

Evolutionary computation; Neural networks; Rule based classifiers; Sea mines; Sonar

Indexed keywords

COMPUTER SIMULATION; LOGIC PROGRAMMING; MILITARY OPERATIONS; MINES; NEURAL NETWORKS;

EID: 27144549120     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIHSPS.2005.1500626     Document Type: Conference Paper
Times cited : (6)

References (3)
  • 1
    • 0024831596 scopus 로고
    • Detection of undersea objects using neural networks
    • R.R. Chen, ed., Maple Press, San Jose, CA
    • V.W. Porto, "Detection of undersea objects using neural networks," Proc. 23rd Asilomar Conf. on Signals, Systems and Computers, Vol. 1, R.R. Chen, ed., Maple Press, San Jose, CA, 1989, pp. 376-380.
    • (1989) Proc. 23rd Asilomar Conf. on Signals, Systems and Computers , vol.1 , pp. 376-380
    • Porto, V.W.1
  • 2
    • 0029324927 scopus 로고
    • Alternative neural network training methods
    • June
    • V.W. Porto, D.B. Fogel, and L.J. Fogel, "Alternative neural network training methods," IEEE Expert, June, 1995, pp. 16-22.
    • (1995) IEEE Expert , pp. 16-22
    • Porto, V.W.1    Fogel, D.B.2    Fogel, L.J.3
  • 3
    • 33745494214 scopus 로고    scopus 로고
    • March 26, report to smh.com.au
    • J.H. Farrell and T.Allard, March 26, 2003, report to smh.com.au, http://www.smh.com.au/articles/2003/03/25/1048354604331.html?oneclick=true
    • (2003)
    • Farrell, J.H.1    Allard, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.