RBF Kernel Based Support Vector Machine with Universal Approximation and Its Application

Author:

Wang Junping,Chen Quanshi,Chen Yong

Publisher

Springer Berlin Heidelberg

Reference4 articles.

1. Suykens, J.A.K.: Nonlinear Modeling and Support Vector Machines. In: IEEE Conference on Instrumentation and Measurement Technology, Budapest, Hungary, May, pp. 287–294 (2001)

2. Suykens, J.A.K.: Sparse Approximation Using Least Squares Support Vector Machines. In: IEEE Int. Symposium on Circuit and Systems, Geneva, Switzerland, May, pp. 757–760 (2000)

3. Rui, F.: Soft Sensor Modeling Based on Support Vector Machine. Information and Control 31(6), 567–571 (2002)

4. Wang, J.P., Jing, Z.L.: A Stochastic Fuzzy Neural Network with Universal Approximation and Its Application. In: Proc. of Int. Conf. On Fuzzy Information Processing Theories and Applications, pp. 497–502. Tsinghua University Press & Springer, Beijing (2003)

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