22 search results - page 2 / 5 » Scalable Architecture for on-Chip Neural Network Training us... |
FLAIRS
2004
13 years 6 months ago
2004
Artificial Neural Networks (ANNs) have proved both a popular and powerful technique for pattern recognition tasks in a number of problem domains. However, the adoption of ANNs in ...
IJCNN
2007
IEEE
13 years 11 months ago
2007
IEEE
Abstract— Hardware implementations of Spiking Neural Networks are numerous because they are well suited for implementation in digital and analog hardware, and outperform classic ...
ICAISC
2004
Springer
13 years 10 months ago
2004
Springer
Scatterograms of the images of training set vectors in the hidden space help to evaluate the quality of neural network mappings and understand internal representations created by t...
EVOW
2008
Springer
13 years 6 months ago
2008
Springer
The design of computer architectures requires the setting of multiple parameters on which the final performance depends. The number of possible combinations make an extremely huge ...
FLAIRS
2004
13 years 6 months ago
2004
This article describes an indirectly encoded evolutionary learning algorithm to train morphological neural networks. The indirect encoding method is an algorithm in which the trai...