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» Extraction of Symbolic Rules from Artificial Neural Networks
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IEEEICCI
2003
IEEE
14 years 24 days ago
Signal Classification through Multifractal Analysis and Complex Domain Neural Networks
This paper describes a system capable of classifying stochastic, self-affine, nonstationary signals produced by nonlinear systems. The classification and analysis of these signals...
Witold Kinsner, V. Cheung, K. Cannons, J. Pear, T....
CEC
2010
IEEE
13 years 8 months ago
An adaptive ensemble of fuzzy ARTMAP neural networks for video-based face classification
A key feature in population based optimization algorithms is the ability to explore a search space and make a decision based on multiple solutions. In this paper, an incremental le...
Jean-François Connolly, Eric Granger, Rober...
IJCNN
2008
IEEE
14 years 1 months ago
Spatiotemporal feature extraction based on invariance representation
— This paper investigates spatiotemporal feature extraction from temporal image sequences based on invariance representation. Invariance representation is one of important functi...
Wenlu Yang, Liqing Zhang
NPL
2006
85views more  NPL 2006»
13 years 7 months ago
A Neural Model for Context-dependent Sequence Learning
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
Luc Berthouze, Adriaan G. Tijsseling
ICAISC
2004
Springer
14 years 28 days ago
One Day Prediction of NIKKEI Index Considering Information from Other Stock Markets
A task of a stock index prediction is presented in this paper. Several issues are considered. The data is gathered at the concerned stock market (NIKKEI) and two other markets (NAS...
Marcin Jaruszewicz, Jacek Mandziuk