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» Hardware Implementations of Artificial Neural Networks
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AIA
2006
13 years 9 months ago
Recurrent and Concurrent Neural Networks for Objects Recognition
A system based on a neural network framework is considered. We used two neural networks, an Elman network [1][2] and a Kohonen (concurrent) network [3], for a categorization task....
Federico Cecconi, Marco Campenní
ESANN
2006
13 years 9 months ago
FPGA implementation of an integrate-and-fire LEGION model for image segmentation
Abstract. Despite several previous studies, little progress has been made in building successful neural systems for image segmentation in digital hardware. Spiking neural networks ...
Bernard Girau, Cesar Torres-Huitzil
NCA
2006
IEEE
13 years 7 months ago
Evolutionary training of hardware realizable multilayer perceptrons
The use of multilayer perceptrons (MLP) with threshold functions (binary step function activations) greatly reduces the complexity of the hardware implementation of neural networks...
Vassilis P. Plagianakos, George D. Magoulas, Micha...
ISJGP
2010
13 years 4 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
EH
1999
IEEE
351views Hardware» more  EH 1999»
13 years 12 months ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...