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Steve A. Billings

Showing results (1-10 of 10) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|March 29, 2003
Dual-orthogonal radial basis function networks for nonlinear time series predictionX Hong, Steve A. Billings
Neural Networks : the Official Journal of the International Neural Network Society|May 23, 2002
Nonlinear fisher discriminant analysis using a minimum squared error cost function and the orthogonal least squares algorithmSteve A Billings, Kian L Lee
Neural Networks : the Official Journal of the International Neural Network Society|December 1, 1996
Radial Basis Function Network Configuration Using Mutual Information and the Orthogonal Least Squares AlgorithmSteve A. Billings, Guang L. Zheng
Neural Networks : the Official Journal of the International Neural Network Society|December 1, 1996
On-line Supervised Adaptive Training Using Radial Basis Function NetworksWan Luo, Steve A. Billings, Chi F. Fung
Neural Networks : the Official Journal of the International Neural Network Society|March 29, 2003
On-line identification of nonlinear systems using Volterra polynomial basis function neural networksGuoping P. Liu, Visakan Kadirkamanathan, Steve A. Billings
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 11, 2012
Tracking time-varying causality and directionality of information flow using an error reduction ratio test with applications to electroencephalography dataYifan Zhao, Steve A Billings, Hualiang Wei, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|June 12, 2012
Time-varying linear and nonlinear parametric model for Granger causality analysisYang Li, Hua-Liang Wei, Steve A Billings, et al.
IEEE Transactions on Bio-Medical Engineering|June 26, 2013
A parametric method to measure time-varying linear and nonlinear causality with applications to EEG dataYifan Zhao, Steve A Billings, Hua-Liang Wei, et al.
Journal of Neuroscience Methods|October 9, 2012
A new NARX-based Granger linear and nonlinear casual influence detection method with applications to EEG dataYifan Zhao, Steve A Billings, Hualiang Wei, et al.
Neuroimage|July 5, 2012
Balanced excitation and inhibition: model based analysis of local field potentialsYing Zheng, Jing Jing Luo, Sam Harris, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Neural Networks : the Official Journal of the International Neural Network Society|March 29, 2003
Dual-orthogonal radial basis function networks for nonlinear time series predictionX Hong, Steve A. Billings
Neural Networks : the Official Journal of the International Neural Network Society|May 23, 2002
Nonlinear fisher discriminant analysis using a minimum squared error cost function and the orthogonal least squares algorithmSteve A Billings, Kian L Lee
Neural Networks : the Official Journal of the International Neural Network Society|December 1, 1996
Radial Basis Function Network Configuration Using Mutual Information and the Orthogonal Least Squares AlgorithmSteve A. Billings, Guang L. Zheng
Neural Networks : the Official Journal of the International Neural Network Society|December 1, 1996
On-line Supervised Adaptive Training Using Radial Basis Function NetworksWan Luo, Steve A. Billings, Chi F. Fung
Neural Networks : the Official Journal of the International Neural Network Society|March 29, 2003
On-line identification of nonlinear systems using Volterra polynomial basis function neural networksGuoping P. Liu, Visakan Kadirkamanathan, Steve A. Billings
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 11, 2012
Tracking time-varying causality and directionality of information flow using an error reduction ratio test with applications to electroencephalography dataYifan Zhao, Steve A Billings, Hualiang Wei, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|June 12, 2012
Time-varying linear and nonlinear parametric model for Granger causality analysisYang Li, Hua-Liang Wei, Steve A Billings, et al.
IEEE Transactions on Bio-Medical Engineering|June 26, 2013
A parametric method to measure time-varying linear and nonlinear causality with applications to EEG dataYifan Zhao, Steve A Billings, Hua-Liang Wei, et al.
Journal of Neuroscience Methods|October 9, 2012
A new NARX-based Granger linear and nonlinear casual influence detection method with applications to EEG dataYifan Zhao, Steve A Billings, Hualiang Wei, et al.
Neuroimage|July 5, 2012
Balanced excitation and inhibition: model based analysis of local field potentialsYing Zheng, Jing Jing Luo, Sam Harris, et al.
Pageof 1