Performance enhancement of respiratory tumor motion prediction using adaptive support vector regression: Comparison with adaptive neural network method

Author:

Choi SeungWook1,Chang Yongjun2,Kim Namkug2,Park Sung Ho3,Song Si Yeol3,Kang Heung Sik1

Affiliation:

1. Interdisciplinary Program in Radiation Applied Life Science; Seoul National University College of Medicine; 103 Daehak-ro Jongno-gu Seoul 110-799 Korea

2. Department of Radiology; University of Ulsan College of Medicine; 388-1 Pungnap2-dong Songpa-gu Seoul 138-736 Korea

3. Department of Radiation Therapy; University of Ulsan College of Medicine; 388-1 Pungnap2-dong Songpa-gu Seoul 138-736 Korea

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Reference24 articles.

1. M.H. Beale M.T. Hagan H.B. Demuth Neural network toolbox user's guide 2012 2 14

2. Breathing pattern in humans: Diversity and individuality;Benchetrit;Respir Physiol,2000

3. A tutorial on support vector machines for pattern recognition;Burges;Data Min Knowl Disc,1998

4. Incremental and decremental support vector machine learning;Cauwenberghs;Adv Neural Inf Process Syst (,2001

5. Libsvm: A library for support vector machines;Chang;ACM T Intell Syst Tech,2011

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