"A reconfigurable Satlin/Sigmoid/Gaussian/Triangular basis functions computation circuits". In: IEEE Asia Pacific Conference on Circuits and Systems, December 4-7, 2006, Singapore.
|
PDF
conf1.pdf Download (13kB) | Preview |
Abstract
A CMOS Satlin/Sigmoid/Gaussian/Triangular Basis functions computation circuit suitable for analog neural networks is proposed. The circuit can be configured to realize any of the four functions. The circuit can approximate these functions with relative root-mean-square error less than 1%. It is shown that the center, width, and peak amplitude of the dc transfer characteristic can be independently controlled. HSPICE simulation results using 0.18um CMOS process model parameters of TSMC technology are included.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Electrical |
| Department: | College of Engineering and Physics > Electrical Engineering |
| Depositing User: | Mr. Tamim Tamim |
| Date Deposited: | 11 Jun 2008 08:25 |
| Last Modified: | 01 Nov 2019 13:27 |
| URI: | http://eprints.kfupm.edu.sa/id/eprint/1751 |