1029 search results - page 38 / 206 » Neural Networks and Complexity Theory |
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FCCM
2009
IEEE
15 years 1 months ago
2009
IEEE
Artificial neural networks are a key tool for researchers attempting to understand and replicate the behaviour and intelligence found in biological neural networks. Software simul...
IJCNN
2000
IEEE
15 years 2 months ago
2000
IEEE
Bayesian MLP neural networks are a flexible tool in complex nonlinear problems. The approach is complicated by need to evaluate integrals over high-dimensional probability distri...
IPCV
2008
14 years 11 months ago
2008
Abstract - A robust method for symbol recognition is presented that utilizes a compact signature based on a modified Hough Transform (HT) and knowledge-based hierarchical neural ne...
JUCS
2007
14 years 9 months ago
2007
: A genetic algorithm (GA) based recurrent fuzzy neural network modeling method for dynamic nonlinear chemical process is presented. The dynamic recurrent fuzzy neural network (RFN...
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
This article describes a mathematical framework for characterizing cooperativity in complex systems subject to evolutionary pressures. This framework uses three foundational compo...