25 search results - page 2 / 5 » Co-evolving Multilayer Perceptrons Along Training Sets |
TNN
2008
13 years 6 months ago
2008
In this paper, it is found that the weights of a perceptron are bounded for all initial weights if there exists a nonempty set of initial weights that the weights of the perceptron...
IJCNN
2000
IEEE
13 years 10 months ago
2000
IEEE
Multilayer perceptrons are often trained using error backpropagation (BP). BP training can be done in either a batch or continuous manner. Claims have frequently been made that bat...
FLAIRS
2004
13 years 7 months ago
2004
The output weight optimization-hidden weight optimization (OWO-HWO) algorithm for training the multilayer perceptron alternately updates the output weights and the hidden weights....
NPL
2006
13 years 6 months ago
2006
Effective backpropagation training of multi-layer perceptrons depends on the incorporation of an appropriate error or objective function. Classification-based (CB) error functions ...
HIS
2008
13 years 7 months ago
2008
Artificial Immune Systems (AIS) constitute an emerging and promising field, and have been applied to pattern recognition and classification tasks to a limited extent so far. This ...