메뉴 건너뛰기




Volumn E84-B, Issue 9, 2001, Pages 2540-2549

Earth-space rain attenuation model based on EPNet-evolved artificial neural network

Author keywords

ANN; Artificial neural network; Evolutionary algorithm; Rain attenuation; Rain attenuation prediction

Indexed keywords

EVOLUTIONARY ALGORITHMS; GEOGRAPHIC INFORMATION SYSTEMS; MATHEMATICAL MODELS; METEOROLOGY; NEURAL NETWORKS; OPTIMIZATION; RADIO COMMUNICATION; RAIN;

EID: 0035445039     PISSN: 09168516     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (4)

References (21)
  • 1
    • 0014971769 scopus 로고
    • Propagation phenomenon affecting satellite communication systems operating in the centimeter and millimeter wavelength bands
    • (1971) Proc. IEEE , vol.59 , pp. 173-188
    • Crane, R.K.1
  • 8
    • 0023346418 scopus 로고
    • A comprehensive meteorologically oriented methodology for the prediction of wave propagation parameters in telecommunication applications beyond 10 GHz
    • (1987) Radio Science , vol.22 , Issue.3 , pp. 387-393
    • Capsoni, C.1    Fedi, F.2    Paraboni, A.3
  • 11
    • 0003744213 scopus 로고
    • Propagation data and prediction methods required for the design of earth-space telecommunications systems
    • International Telecommunications Union-Radio communication (ITU-R); ITU-R Recommendations, Propagation in Non-Ionized Media, Rec.618-5, Geneva
    • (1992)
  • 14
    • 0025418717 scopus 로고
    • New concept used to predict slant path rain attenuation statistics
    • (1990) IEE Proc. , vol.137 , Issue.2 PART H , pp. 89-93
    • Hansson, L.1
  • 20
    • 85027148210 scopus 로고    scopus 로고
    • ITU-R Study Group
    • (2000)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.