메뉴 건너뛰기




Volumn 67 LNEE, Issue , 2010, Pages 861-868

Applying least squares support vector regression with genetic algorithms for radio-wave path-loss prediction in Suburban environment

Author keywords

Genetic algorithms; Least squares support vector regression; Radio wave path loss

Indexed keywords

DATA SETS; FORECASTING ACCURACY; FORECASTING MODELS; GENERALIZED REGRESSION NEURAL NETWORKS; LEAST SQUARES SUPPORT VECTOR REGRESSION; PATH LOSS; SUPPORT VECTOR REGRESSION (SVR); TWO PARAMETER;

EID: 84867386314     PISSN: 18761100     EISSN: 18761119     Source Type: Book Series    
DOI: 10.1007/978-3-642-12990-2_100     Document Type: Conference Paper
Times cited : (12)

References (13)
  • 1
    • 33748717517 scopus 로고
    • Radio propagation above 40 Mc over irregular terrain
    • Egli, J.J.: Radio Propagation above 40 Mc over Irregular Terrain. In: IRE, pp. 1383-1391 (1957)
    • (1957) IRE , pp. 1383-1391
    • Egli, J.J.1
  • 4
    • 0001500115 scopus 로고
    • Function of positive and negative type and their connection with the theory of integral equations
    • Mercer, J.: Function of Positive and Negative Type and Their Connection with the Theory of Integral Equations. Philosophical Transactions of the Royal Society A 209, 415-446 (1909)
    • (1909) Philosophical Transactions of the Royal Society A , vol.209 , pp. 415-446
    • Mercer, J.1
  • 5
    • 47649086161 scopus 로고    scopus 로고
    • Near-earth propagation loss prediction in open rural environment using hybrid empirical neural model
    • IEEE Press, Serbia
    • Milovanovic, B., Stankovic, Z., Milijic, M., Sarevska, M.: Near-Earth Propagation Loss Prediction in Open Rural Environment using Hybrid Empirical Neural Model. In: TELSIKS 2007, pp. 423-426. IEEE Press, Serbia (2007)
    • (2007) TELSIKS 2007 , pp. 423-426
    • Milovanovic, B.1    Stankovic, Z.2    Milijic, M.3    Sarevska, M.4
  • 6
    • 69249212288 scopus 로고    scopus 로고
    • A normal least squares support vector machine (nls-svm) and its learning algorithm
    • Peng, X., Wang, Y.: A Normal Least Squares Support Vector Machine (NLS-SVM) and Its Learning Algorithm. Neurocomputing 72, 3734-3741 (2009)
    • (2009) Neurocomputing , vol.72 , pp. 3734-3741
    • Peng, X.1    Wang, Y.2
  • 11
    • 84887252594 scopus 로고    scopus 로고
    • Support vector machine for function approximation regression estimation, and signal processing
    • Vapnik, V., Golowich, S., Smola, A.: Support Vector Machine for Function Approximation Regression Estimation, and Signal Processing. In: Advances in Neural Information Processing Systems, vol. 9, pp. 281-287 (1996)
    • (1996) Advances in Neural Information Processing Systems , vol.9 , pp. 281-287
    • Vapnik, V.1    Golowich, S.2    Smola, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.