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Volumn 3, Issue , 2008, Pages 1717-1722

Short-term forecasting of the likelihood of interference to groundwave users in the lowest part of the HF spectrum

Author keywords

HF communications; Interference; Ionosphere; Neural networks

Indexed keywords

COMMUNICATION PARAMETERS; COMMUNICATION SERVICE; CONGESTION LEVEL; DETRIMENTAL EFFECTS; FIELD STRENGTHS; FREQUENCY CHANNELS; HF COMMUNICATION; INTERFERENCE; NEAR-REAL TIME; NEURAL NETWORK MODEL; PERFORMANCE EVALUATION; REAL-TIME CHANNELS; SHORT-TERM FORECASTING; SPECTRAL CONGESTION; SYSTEM CAPABILITIES; TIME OF DAY;

EID: 78650504753     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IS.2008.4670548     Document Type: Conference Paper
Times cited : (7)

References (10)
  • 1
    • 0031166054 scopus 로고    scopus 로고
    • Forecasting of ionospheric critical frequency using neural networks
    • O. Altinay, E. Tulunay, and Y. Tulunay, "Forecasting of ionospheric critical frequency using neural networks," Geophysical Research Letters, vol. 24, no. 12, p. 14671470, 1997.
    • (1997) Geophysical Research Letters , vol.24 , Issue.12 , pp. 14671470
    • Altinay, O.1    Tulunay, E.2    Tulunay, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.