IEEE - Institute of Electrical and Electronics Engineers, Inc. - Radial basis function networks with adjustable kernel shape parameters

2010 International Conference on Machine Learning and Cybernetics (ICMLC)

Author(s): I-Cheng Yeh ; Xin-Ying Zhang ; Chong Wu ; Kuan-Chieh Huang
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 July 2010
Conference Location: Qingdao, China, China
Conference Date: 11 July 2010
Volume: 3
Page(s): 1,482 - 1,485
ISBN (CD): 978-1-4244-6525-5
ISBN (Electronic): 978-1-4244-6527-9
ISBN (Paper): 978-1-4244-6526-2
DOI: 10.1109/ICMLC.2010.5580841
Regular:

Radial basis function network (RBFN) which is commonly used in the classification problems has two parameters, a kernel center and a radius that can be determined by unsupervised or supervised... View More

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