11 search results - page 1 / 3 » Learning Highly Non-separable Boolean Functions Using Constr... |
ICANN
2007
Springer
13 years 11 months ago
2007
Springer
FUZZY
2004
Springer
13 years 10 months ago
2004
Springer
A feedforward neural network based on multi-valued neurons is considered in the paper. It is shown that using a traditional feedforward architecture and a high functionality multi-...
CSREAESA
2004
13 years 6 months ago
2004
- The model of a simple perceptron using phase-encoded inputs and complex-valued weights is presented. Multilayer two-input and three-input complex-valued neurons (CVNs) are implem...
NN
1998
Springer
13 years 5 months ago
1998
Springer
The number of required hidden units is statistically estimated for feedforward neural networks that are constructed by adding hidden units one by one. The output error decreases w...
TNN
2008
13 years 5 months ago
2008
A multilayer neural network based on multivalued neurons (MLMVN) is a neural network with a traditional feedforward architecture. At the same time, this network has a number of spe...