Radial basis function networks for noise reduction of speech

There have been several recent studies concerning feedforward networks and the problem of approximating arbitrary functionals of a finite number of real variables. Some of these studies deal with cases in which the hidden-layer nonlinearity is not a sigmoid. This was motivated by successful applications of feedforward networks with nonsigmoidal hidden-layer units. This paper reports on a related study of radial-basis-function (RBF) networks, and it is proved that RBF networks having one hidden layer are capable of universal approximation. Here the emphasis is on the case of typical RBF networks, and the results show that a certain class of RBF networks with the same smoothing factor in each kernel node is broad enough for universal approximation.

Improving the prediction of radial basis function networks for power systems

2001 IEEE Power Engineering Society Winter Meeting Conference Proceedings (Cat No 01CH37194) PESW-01 ◽

10.1109/pesw.2001.916903 ◽

2002 ◽

Cited By ~ 1

Author(s):

Jau-Jia Guo ◽

P.B. Luh

Keyword(s):

Power Systems ◽

Radial Basis Function ◽

Basis Function ◽

Radial Basis Function Networks ◽

Radial Basis

Closed-loop ignition control using online learning of locally-tuned radial basis function networks

Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251) ◽

10.1109/acc.1999.783589 ◽

1999 ◽

Keyword(s):

Online Learning ◽

Radial Basis Function ◽

Basis Function ◽

Closed Loop ◽

Radial Basis Function Networks ◽

Radial Basis

An adaptive control method for robot manipulators using radial basis function networks

ISIE 2001. 2001 IEEE International Symposium on Industrial Electronics Proceedings (Cat. No.01TH8570) ◽

10.1109/isie.2001.931988 ◽

2002 ◽

Author(s):

Min-Jung Lee ◽

Young-Kiu Choi

Keyword(s):

Adaptive Control ◽

Radial Basis Function ◽

Basis Function ◽

Control Method ◽

Robot Manipulators ◽

Radial Basis Function Networks ◽

Radial Basis

Regression Estimation by Radial Basis Function Networks With Self-Constructing Clustering

2018 5th International Conference on Systems and Informatics (ICSAI) ◽

10.1109/icsai.2018.8599348 ◽

2018 ◽

Author(s):

Ching-Sheng Tu ◽

Deng-Yi Wu ◽

Shie-Jue Lee ◽

Chih-Hung Wu

Keyword(s):

Radial Basis Function ◽

Basis Function ◽

Radial Basis Function Networks ◽

Regression Estimation ◽

Radial Basis

Novel Online Dimensionality Reduction Method with Improved Topology Representing and Radial Basis Function Networks

PLoS ONE ◽

10.1371/journal.pone.0131631 ◽

2015 ◽

Vol 10 (7) ◽

pp. e0131631

Author(s):

Shengqiao Ni ◽

Jiancheng Lv ◽

Zhehao Cheng ◽

Mao Li

Keyword(s):

Dimensionality Reduction ◽

Radial Basis Function ◽

Basis Function ◽

Reduction Method ◽

Radial Basis Function Networks ◽

Radial Basis ◽

Dimensionality Reduction Method

Forward selection radial basis function networks applied to bacterial classification based on MALDI-TOF-MS

Talanta ◽

10.1016/j.talanta.2003.11.034 ◽

2004 ◽

Vol 63 (3) ◽

pp. 527-532 ◽

Cited By ~ 16

Author(s):

Zhuoyong Zhang ◽

Dan Wang ◽

Peter de B Harrington ◽

Kent J Voorhees ◽

Jon Rees

Keyword(s):

Radial Basis Function ◽

Basis Function ◽

Radial Basis Function Networks ◽

Forward Selection ◽

Maldi Tof Ms ◽

Maldi Tof ◽

Bacterial Classification ◽

Radial Basis ◽

Tof Ms