Sciweavers

598 search results - page 41 / 120
» VLSI Implementation of Neural Networks
Sort
View
FCCM
2011
IEEE
251views VLSI» more  FCCM 2011»
12 years 11 months ago
A Scalable Multi-FPGA Platform for Complex Networking Applications
Abstract—Ballooning traffic volumes and increasing linkspeeds require ever high compute power to perform complex real-time processing of network packets. FPGAs have already been...
Sascha Mühlbach, Andreas Koch
IJCNN
2000
IEEE
14 years 3 days ago
Simulation of a Digital Neuro-Chip for Spiking Neural Networks
: Conventional hardware platforms are far from reaching real-time simulation requirements of complex spiking neural networks (SNN). Therefore we designed an accelerator board with ...
Tim Schönauer, S. Atasoy, N. Mehrtash, Heinri...
ICEIS
2009
IEEE
13 years 5 months ago
Pattern Recognition for Downhole Dynamometer Card in Oil Rod Pump System using Artificial Neural Networks
: This paper presents the development of an Artificial Neural Network system for Dynamometer Card pattern recognition in oil well rod pump systems. It covers the establishment of p...
Marco A. D. Bezerra, Leizer Schnitman, Manuel de A...
VLSISP
2002
114views more  VLSISP 2002»
13 years 7 months ago
Image processing using cellular neural networks based on multi-valued and universal binary neurons
Multi-valued and universal binary neurons (MVN and UBN) are the neural processing elements with the complex-valued weights and high functionality. It is possible to implement an a...
Igor N. Aizenberg, Constantine Butakoff
ESANN
2004
13 years 9 months ago
Input arrival-time-dependent decoding scheme for a spiking neural network
Spiking neurons model a type of biological neural system where information is encoded with spike times. In this paper, a new method for decoding input spikes according to their abs...
Hesham H. Amin, Robert H. Fujii