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Volumn , Issue , 2007, Pages 323-330

Comparison of MLP neural network and kalman filter for localization in wireless sensor networks

Author keywords

And Kalman; Localization; Neural Networks; Sensor Networks

Indexed keywords

ADAPTIVITY; AND KALMAN; COMPUTATIONAL REQUIREMENTS; CRITICAL PROBLEMS; HARDWARE RESOURCES; LOCALIZATION; LOCALIZATION ACCURACIES; LOCALIZATION ALGORITHMS; LOCALIZATION PERFORMANCE; MEMORY RESOURCES; MLP NEURAL NETWORKS; MULTI-LAYER PERCEPTRON;

EID: 62449093751     PISSN: 10272658     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (15)

References (21)
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  • 3
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  • 5
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    • October
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    • Ward, A.1    Jones, A.2    Hopper, A.3
  • 6
    • 0009511463 scopus 로고
    • The active badge location system
    • Technical Report 92.1, Olivetti Research Ltd, ORL, 24a Trumpington Street, Cambridge CB2 1QA
    • R. Want, A. Hopper, V. Falcão, and J. Gibbons. The active badge location system. Technical Report 92.1, Olivetti Research Ltd. (ORL), 24a Trumpington Street, Cambridge CB2 1QA, 1992.
    • (1992)
    • Want, R.1    Hopper, A.2    Falcão, V.3    Gibbons, J.4
  • 11
    • 0004415562 scopus 로고    scopus 로고
    • SpotON: An indoor 3D location sensing technology based on RF signal strength
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    • (2000) Technical Report CSE Technical Report
    • Hightower, J.1    Bordello, G.2    Want, R.3
  • 12
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    • (2004)
    • Lorincz, K.1    Welsh, M.2
  • 15
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    • An introduction to the Kalman filter. Technical Report TR 95-041, University of North Carolina at Chapel Hill, Department of Computer
    • Chapel Hill
    • G. Welch and G. Bishop. An introduction to the Kalman filter. Technical Report TR 95-041, University of North Carolina at Chapel Hill, Department of Computer Science. Chapel Hill, NC 27599-3175, 2006.
    • (2006) Science , vol.NC 27599-3175
    • Welch, G.1    Bishop, G.2
  • 20
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    • S. Haykin. Neural Networks. Upper Saddle River, NJ: Prentice Hall, 1999.
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    • Haykin, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.