Spectroscopy and Spectral Analysis, Volume. 34, Issue 1, 175(2014)
Research on Living Tree Volume Forecast Based on PSO Embedding SVM
References(10)
[2] [2] Von Gadow K. Forstwissenschaftliches Centralblatt Vereinigt Mit Tharandter forstliches Jahrbuch, 2003, 122(4): 258.
[3] [3] Kubler H. Trees, 1991, 5(3): 125.
[4] [4] zelik R, Brooks J R. Annals of Forest Science, 2012, 69(1): 105.
[5] [5] Zeide B. Trees, 2005, 19(1): 1.
[7] [7] Manzoni L, Castelli M, Vanneschi L. Genetic Programming and Evolvable Machines, 2013, 14(4): 457.
[8] [8] Lu Y, Roychowdhury V. Knowledge and Information Systems, 2008, 14(2): 233.
[9] [9] Fourie P C, Groenwold A A. Structural and Multidisciplinary Optimization, 2002, 23(4): 259.
[10] [10] Dong Xiaojian, Wu Zhijian, Dong Chao, et al. Wuhan University Journal of Natural Sciences, 2011, 16(3): 237.
[11] [11] Qu R, Xu Y, Castro J P, et al. Journal of Heuristics, 2013, 19(2): 317.
[12] [12] Nattachote, Rugthaicharoenchep, Somkieat, et al. Journal of Enerhy and Power Engineering, 2012, 6(10): 1718.
Tools
Get Citation
Copy Citation Text
JIAO You-quan, FENG Zhong-ke, ZHAO Li-xi, XU Wei-heng, CAO Zhong. Research on Living Tree Volume Forecast Based on PSO Embedding SVM[J]. Spectroscopy and Spectral Analysis, 2014, 34(1): 175
Paper Information
Received: Jun. 17, 2013
Accepted: --
Published Online: Jan. 27, 2015
The Author Email: JIAO You-quan (jiaoyouquan@163.com)
© Copyright 2018-2021 | Chinese Laser Press.
All Rights Reserved 沪ICP备15018463号-20