950 search results - page 44 / 190 » Training a Quantum Neural Network |
IWANN
2009
Springer
14 years 2 months ago
2009
Springer
This paper proposes a new evolutionary method for generating ANNs. In this method, a simple real-number string is used to codify both architecture and weights of the networks. Ther...
IJCNN
2007
IEEE
14 years 2 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 ...
CEC
2008
IEEE
13 years 9 months ago
2008
IEEE
This article presents results from experiments where a detector for defects in visual inspection images was learned from scratch by EANT2, a method for evolutionary reinforcement l...
FLAIRS
2004
13 years 9 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...
ISNN
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. In this paper, some sufficient conditions are obtained to guarantee that discrete time cellular neural networks (DTCNNs) can have some stable memory patterns. These condi...