๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Optical implementation of cellular neural networks based on bias and joint correlation

โœ Scribed by Zhang, Shuqun ;Karim, Mohammad A.

Book ID
115347815
Publisher
The Optical Society
Year
1999
Tongue
English
Weight
167 KB
Volume
38
Category
Article
ISSN
1559-128X

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Bias-dependent scalable modeling of micr
Bias-dependent scalable modeling of microwave FETs based on artificial neural networks
โœ Zlatica D. Marinkoviฤ‡; Olivera R. Proniฤ‡; Vera V. Markoviฤ‡ ๐Ÿ“‚ Article ๐Ÿ“… 2006 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 299 KB ๐Ÿ‘ 1 views

A simple and efficient procedure for modeling of scattering and noise parameters for a class of microwave transistors manufactured in the same technology is presented in this article. It is based on multilayer perceptron artificial neural networks (ANN), whose inputs are device gate width, biases, a

On the implementation of linear diffusio
On the implementation of linear diffusion in transconductance-based cellular nonlinear networks
โœ J. Fernรกndez-Berni; R. Carmona-Galรกn ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 721 KB

## Abstract In theory, cellular nonlinear networks (CNN) are well capable of implementing discreteโ€space linear diffusion by means of the appropriate templates. In practice, good results have not been demonstrated with transconductanceโ€based circuits. In this paper, we prove that inherent mismatch