Results 261 to 270 of about 4,958,442 (285)

Parallelization of cellular neural networks on GPU

Pattern Recognition, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tze-Yui Ho, Ping-Man Lam, Chi-Sing Leung
openaire   +1 more source

On the separating capability of cellular neural networks

International Journal of Circuit Theory and Applications, 1996
The cellular neural network is able to perform different image-processing tasks depending on the template values, i.e. the network parameters, used. In the case of linear templates the parameter space is divided into different regions by hyperplanes. Every region is associated with a task, such that all points within that region let the cellular neural
José A. Osuna, George S. Moschytz
openaire   +2 more sources

Toward nanoelectronic cellular neural networks

International Journal of Circuit Theory and Applications, 2000
We investigate the use of nanoelectronic structures in cellular nonlinear network (CNN) architectures, for potential application in future high-density and low-power CMOS-nanodevice hybrid circuits. We first investigate compact models for simulation of Single Electron Tunneling (SET) transistors appropriate for use in coupled SET-CMOS circuits. We then
Costa Gerousis, Stephen M. Goodnick, Wolfgang Porod   +2 more
openaire   +2 more sources

Cellular neural networks for motion estimation

Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2002
The cellular neural networks (CNN) model is now a paradigm of cellular analogue programmable multidimensional processor array with distributed local logic and memory. CNNs consist of many parallel analogue processors computing in realtime. One desirable feature is that these processors arranged in a two dimensional grid only have local connections ...
Mariofanna G. Milanova, Aurélio C. Campilho, Miguel V. Correia 0002   +2 more
openaire   +2 more sources

A Neural Network Approach in Cellular Manufacturing

1999
In order to achieve high productivity under the turbulent production environment, production systems have been changed into cellular manufacturing systems. That involves dividing of production system into some cells by collecting similar products and machines in manufacturing process.
Mikac, Tonči, Jurković, Milan, Pekić, Zoltan   +2 more
openaire   +1 more source

Fast binary cellular neural networks

Proceedings of International Conference on Neural Networks (ICNN'97), 2002
We show that for a class of monotonic binary CNNs one can speed up the analog transient by introducing simple non-linear cell interconnections. Employing additional parameter optimization we acquire the speed gain of up to two orders of magnitude.
openaire   +2 more sources

Cellular Phones and Risk of Brain Tumors

Ca-A Cancer Journal for Clinicians, 2001
Howard Frumkin, Ted Gansler, Anne Jacobson   +2 more
exaly  

Stability Analysis of Delayed Cellular Neural Networks

Neural Networks, 1998
Dongming Zhou, Jinde Cao
exaly  

Mechanism of Action of Anticancer Drugs at a Cellular Level

Ca-A Cancer Journal for Clinicians, 1968
David A Karnofsky
exaly  

Mixed Results on Link Between Cellular Telephones and Cancer

Ca-A Cancer Journal for Clinicians, 2010
John Henry Dreyfuss
exaly