Study and application of displacement time series forecast based on APSO-WLSSVM

Yantu Gongcheng Xuebao/Chinese Journal of Geotechnical Engineering

Volumn 31, Issue 3, 2009, Pages 313-318

  Xu, Wei Ya ^a   Xu, Fei ^a   Liu, Da Wen ^b  

^a HOHAI UNIVERSITY   (China)

^b CHECC   (China)

Author keywords

Displacement time series forecast; Least squares support vector machines; Particle swarm optimization; Wavelet function

Indexed keywords

ADAPTIVE PARTICLE SWARM OPTIMIZATIONS; DISPLACEMENT TIME SERIES FORECAST; DIVERSION TUNNELS; FORECAST ACCURACIES; FREQUENCY DOMAINS; GAUSS KERNELS; HYDROPOWER STATIONS; LEAST SQUARES SUPPORT VECTOR MACHINES; NEW MODELS; NON-LINEAR LEARNING; PARTICLE SWARM OPTIMIZATION; RESOLVING ABILITIES; STUDY AND APPLICATIONS; TIME DOMAINS; WAVELET FUNCTION; WAVELET TRANSFORMATIONS;

CURVE FITTING; FORECASTING; GEARS; IMAGE RETRIEVAL; LEAST SQUARES APPROXIMATIONS; MULTILAYER NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO); SUPPORT VECTOR MACHINES; VECTORS;

TIME SERIES;

EID: 64249097436     PISSN: 10004548     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (12)

1. FENG Xia-ting. Introduction of intelligent rock mechanics[M]. Beijing: Science Press, 2000. (in Chinese)
2. VLADIMIR N VAPNIK. The nature of statistical learning theory[M]. NY: Springer-Verlag, 1995.
3. BIAN Zhao-qi, ZHANG Xue-gong. Pattern recognition[M]. 2nd ed. Beijing: Tsinghua University Press, 2000. (in Chinese)
4. NELLO CRISTIANINI, JOHN SHAWE-TAYLOR. An introduction to support vector machine and other kernel-based learning methods[M]. London: Cambridge University Press, 2000.
5. SMOLA A, SCHÖLKOPF B. A tutorial on support vector regression[J]. Statistics and Computing, 2004, 14(3): 199-222.
6. GAVIN C CAWLEY, NICALA L C TALBOT. Improved sparse least squares support vector machines[J]. Neurocomputing, 2002(48): 1025-1031.
7. LI Yuan-cheng, LI Bo, FANG Ting-jian. Nonlinear combination forecasting method based on wavelet least squares support vector machines[J]. Information and Control, 2004, 33(3): 303-306.(in Chinese)
8. ZHANG Q, BENVENISTE A. Wavelet networks[J]. IEEE Trans on Neural Networks, 1992, 3(6): 889-898.
9. CUI Wan-zhao, ZHU Chang-chun, BAO Wen-xing, et al. Least squares wavelet support vector machines and its application to nonlinear system identification[J]. Journal of Xi'an Jiaotong University, 2004, 38(6): 562-565. (in Chinese)
10. SHI Y H, EBERHART R C. Parameter selection in particle swarm optimization[C]// Proc of the 7th Annual Conference on Evolutionary Programming. San Diego, USA, 1998.
11. EBERHART R C, KENNEDY J. A new optimizer using particle swarm theory[C]// Proceedings of Sixth International Symposium on Micro Machine and Human Science. Nagoya, Japan, 1995: 66-73.
12. ZHAO Hong-bo, FENG Xia-ting. Study and application of genetic-support vector machine for nonlinear displacement time series forecasting[J]. Chinese Journal of Geotechnical Engineering, 2003, 25(4): 468-471. (in Chinese)