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- Stephen A. Billings, Kian Leong Lee
- Neural Networks
- 2002

The nonlinear discriminant function obtained using a minimum squared error cost function can be shown to be directly related to the nonlinear Fisher discriminant (NFD). With the squared error costâ€¦ (More)

In ldeniz turkey at the equation is diffusion approximation this approach. Moreover there is literally be chaotic, unpredictable or more sophisticated methods in the resonance region. Insights weâ€¦ (More)

- Stephen A. Billings, S. Y. Fakhouri
- Automatica
- 1982

~ e t I d e n t i f i c a t i o n of nonlinear systems which can be represented by combinations of linear dynamic and static nonlinear elements are considered. Previous results by the authors basedâ€¦ (More)

- Stephen A. Billings, Hua-Liang Wei
- IEEE Transactions on Neural Networks
- 2005

A new class of wavelet networks (WNs) is proposed for nonlinear system identification. In the new networks, the model structure for a high-dimensional system is chosen to be a superimposition of aâ€¦ (More)

- Guoping Liu, Stephen A. Billings, Visakan Kadirkamanathan
- Int. J. Systems Science
- 2000

- Stephen A. Billings, Guang L. Zheng
- Neural Networks
- 1995

-Most training algorithms for radial basis function (RBF) neural networks start with a predetermined network structure which is chosen either by using a priori knowledge or based on previousâ€¦ (More)

This article maybe used for research, teaching and private study purposes. Any substantial or systematic reproduction, redistribution , reselling , loan or sub-licensing, systematic supply orâ€¦ (More)

- Zhuoyi Song, Marten Postma, Stephen A. Billings, Daniel Coca, Roger C. Hardie, Mikko Juusola
- Current Biology
- 2012

BACKGROUND
In fly photoreceptors, light is focused onto a photosensitive waveguide, the rhabdomere, consisting of tens of thousands of microvilli. Each microvillus is capable of generating elementaryâ€¦ (More)

- Stephen A. Billings, Hua-Liang Wei, Michael A. Balikhin
- Neural Networks
- 2007

A novel modelling framework is proposed for constructing parsimonious and flexible multiscale radial basis function networks (RBF). Unlike a conventional standard single scale RBF network, where allâ€¦ (More)

- Stephen A. Billings, Chi F. Fling
- Neural Networks
- 1995

Radial basis function neural network architectures are introduced for the nonlinear adaptive noise cancellation problem. Both FIR and llR filter designs are considered, and it is shown that byâ€¦ (More)