Applying Least Squares Support Vector Regression with Genetic Algorithms for Radio-Wave Path-Loss Prediction in Suburban Environment-Reference-Cited by-同舟云学术

Applying Least Squares Support Vector Regression with Genetic Algorithms for Radio-Wave Path-Loss Prediction in Suburban Environment

Published:2010 Issue: Volume: Page:861-868
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Lin Kuo-Ping,Hung Kuo-Chen,Lin Jen-Chang,Wang Chi-Kai,Pai Ping-Feng

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-12990-2_100.pdf

Reference13 articles.

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3. Joshi, G.G., Dietrich Jr., C.B., Anderson, C.R., Newhall, W.G., Davis, W.A., Isaacs, J., Barnett, G.: Near-ground Channel Measurements over Line-of-sight and Forested Paths. IEE Proc.-Microw. Antennas Propag. 152, 589–596 (2005)

4. 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)

5. Milovanović, B., Stanković, Z., Milijić, 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)

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