869 search results - page 28 / 174 » An Effective Learning Method for Max-Min Neural Networks |
FLAIRS
2004
13 years 10 months ago
2004
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
ICANN
2011
Springer
13 years 2 days ago
2011
Springer
The artificial neural networks that are used to recognize shapes typically use one or more layers of learned feature detectors that produce scalar outputs. By contrast, the comput...
ICNC
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. A mixture multiscale autoregressive moving average (ARMA) network is proposed for unsupervised segmentation of synthetic aperture radar (SAR) image. The network combines ...
TNN
2010
13 years 3 months ago
2010
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
CEC
2005
IEEE
14 years 2 months ago
2005
IEEE
This paper examines the effect of cultural learning on a population of neural networks. We compare the genotypic and phenotypic diversity of populations employing only population l...