IEEE - Institute of Electrical and Electronics Engineers, Inc. - Comparison between traditional neural networks and radial basis function networks

2011 IEEE 20th International Symposium on Industrial Electronics (ISIE)

Author(s): Tiantian Xie ; Hao Yu ; Wilamowski, B.
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 June 2011
Conference Location: Gdansk, Poland, Poland
Conference Date: 27 June 2011
Page(s): 1,194 - 1,199
ISBN (Electronic): 978-1-4244-9312-8
ISBN (Paper): 978-1-4244-9310-4
ISBN (Online): 978-1-4244-9311-1
ISSN (Paper): Pending
ISSN (Online): Pending
DOI: 10.1109/ISIE.2011.5984328
Regular:

The paper presents the properties of two types of neural networks: traditional neural networks and radial basis function (RBF) networks, both of which are considered as universal approximators. In... View More

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