Sciweavers

598 search results - page 20 / 120
» VLSI Implementation of Neural Networks
Sort
View
78
Voted
ISCAS
2003
IEEE
117views Hardware» more  ISCAS 2003»
15 years 2 months ago
Learning temporal correlations in biologically-inspired aVLSI
Temporally-asymmetric Hebbian learning is a class of algorithms motivated by data from recent neurophysiology experiments. While traditional Hebbian learning rules use mean firin...
Adria Bofill-i-Petit, Alan F. Murray
ISJGP
2010
14 years 6 months ago
On the Hardware Implementation Cost of Crypto-Processors Architectures
A variety of modern technologies such as networks, Internet, and electronic services demand private and secure communications for a great number of everyday transactions. Security ...
Nicolas Sklavos
84
Voted
DSD
2004
IEEE
122views Hardware» more  DSD 2004»
15 years 1 months ago
On the Packet-Switched Implementation of a Discrete-Time CNN
Cellular Neural Networks are widely used with real-time image processing's applications. Such systems can be efficiently realized using macro enriched fieldprogrammable gate-...
Suleyman Malki, Lambert Spaanenburg
TVLSI
2008
133views more  TVLSI 2008»
14 years 9 months ago
A Medium-Grain Reconfigurable Architecture for DSP: VLSI Design, Benchmark Mapping, and Performance
Reconfigurable hardware has become a well-accepted option for implementing digital signal processing (DSP). Traditional devices such as field-programmable gate arrays offer good fi...
Mitchell J. Myjak, José G. Delgado-Frias
NN
2000
Springer
128views Neural Networks» more  NN 2000»
14 years 9 months ago
A recurrent neural network for solving linear projection equations
Linear projection equations arise in many optimization problems and have important applications in science and engineering. In this paper, we present a recurrent neural network fo...
Youshen Xia, Jun Wang