401 search results - page 42 / 81 » Evolving a neural network using dyadic connections |
IJON
2002
13 years 7 months ago
2002
In this paper, the N-bit parity problem is solved with a neural network that allows direct connections between the input layer and the output layer. The activation function used i...
ACSC
2008
IEEE
13 years 9 months ago
2008
IEEE
Recurrent neural networks are able to store information about previous as well as current inputs. This "memory" allows them to solve temporal problems such as language r...
TNN
2008
13 years 7 months ago
2008
Abstract-- A major drawback of artificial neural networks (ANNs) is their black-box character. This is especially true for recurrent neural networks (RNNs) because of their intrica...
IJCNN
2007
IEEE
14 years 2 months ago
2007
IEEE
be regarded as an abstraction of the underlying effective network connectivity, i.e. its functional connectivity. Although similar functional connectivity models have been describe...
IJON
2006
13 years 7 months ago
2006
This paper studies new spike-based models for winner-take-all computation and coincidence detection. In both cases, very fast convergence is achieved independent of initial condit...