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Volumn 2016, Issue , 2016, Pages

Deep Belief Networks for Fingerprinting Indoor Localization Using Ultrawideband Technology

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; COMPLEX NETWORKS; DATABASE SYSTEMS; DIRECTION OF ARRIVAL; IMPULSE RESPONSE; LOCATION; MOBILE COMPUTING; PATTERN MATCHING; REGRESSION ANALYSIS; RSS; TELECOMMUNICATION NETWORKS; TIME OF ARRIVAL; ULTRA-WIDEBAND (UWB);

EID: 84958582432     PISSN: 15501329     EISSN: 15501477     Source Type: Journal    
DOI: 10.1155/2016/5840916     Document Type: Article
Times cited : (44)

References (20)
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  • 5
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  • 9
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    • Indoor localization based on feed-forward neural networks and CIR fingerprinting techniques
    • IEEE, Newport Beach, Calif, USA, January
    • R. Zouari, R. Zayani, and R. Bouallegue, "Indoor localization based on feed-forward Neural Networks and CIR fingerprinting techniques," in Proceedings of the IEEE Radio and Wireless Symposium(RWS '14), pp. 271-273, IEEE, Newport Beach, Calif, USA, January 2014.
    • (2014) Proceedings of the IEEE Radio and Wireless Symposium(RWS '14) , pp. 271-273
    • Zouari, R.1    Zayani, R.2    Bouallegue, R.3
  • 10
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    • A novel WIFI indoor positioning method based on genetic algorithm and twin support vector regression
    • IEEE, Changsha, China, May-June
    • W. Le, Z. Wang, J. Wang, G. Zhao, and H. Miao, "A novel WIFI indoor positioning method based on genetic algorithm and twin support vector regression," in Proceedings of the 26th Chinese Control and Decision Conference (CCDC '14), pp. 4859-4862, IEEE, Changsha, China, May-June 2014.
    • (2014) Proceedings of the 26th Chinese Control and Decision Conference (CCDC '14) , pp. 4859-4862
    • Le, W.1    Wang, Z.2    Wang, J.3    Zhao, G.4    Miao, H.5
  • 11
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    • A fast learning algorithm for deep belief nets
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    • (2006) Neural Computation , vol.18 , Issue.7 , pp. 1527-1554
    • Hinton, G.E.1    Osindero, S.2    Teh, Y.-W.3
  • 12
    • 84885018698 scopus 로고    scopus 로고
    • Towards adaptive learning with improved convergence of deep belief networks on graphics processing units
    • N. Lopes and B. Ribeiro, "Towards adaptive learning with improved convergence of deep belief networks on graphics processing units," Pattern Recognition, vol. 47, no. 1, pp. 114-127, 2014.
    • (2014) Pattern Recognition , vol.47 , Issue.1 , pp. 114-127
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  • 15
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    • Anapproach to fault diagnosis of reciprocating compressor valves using teager-kaiser energy operator and deep belief networks
    • V. T. Tran, F. Althobiani, and A. Ball, "Anapproach to fault diagnosis of reciprocating compressor valves using Teager-Kaiser energy operator and deep belief networks," Expert Systems with Applications, vol. 41, no. 9, pp. 4113-4122, 2014.
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  • 17
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    • Time series forecasting using a deep belief network with restricted boltzmann machines
    • T. Kuremoto, S. Kimura, K. Kobayashi, and M. Obayashi, "Time series forecasting using a deep belief network with restricted Boltzmann machines," Neurocomputing, vol. 137, pp. 47-56, 2014.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.