55 search results - page 2 / 11 » An adaptive learning algorithm for a neo fuzzy neuron |
ICONIP
1998
13 years 9 months ago
1998
The paper presents a framework called ECOS for Evolving COnnectionist Systems. ECOS evolve through incremental learning. They can accommodate any new input data, including new fea...
ICANN
2007
Springer
13 years 10 months ago
2007
Springer
A multilayer neural network based on multi-valued neurons (MLMVN) is a new powerful tool for solving classification, recognition and prediction problems. This network has a number ...
ESANN
2007
13 years 10 months ago
2007
One of the most difficult problems in using dynamic reservoirs like echo state networks for signal processing is the choice of reservoir network parameters like connectivity or spe...
ENGL
2007
13 years 8 months ago
2007
This research introduces a general class of functions serving as generalized neuron models to be used in artificial neural networks. They are cast in the common framework of comp...
IJON
2002
13 years 8 months ago
2002
The `Bussgang' algorithm is one among the most known blind deconvolution techniques in the adaptive signal processing literature. It relies on a Bayesian estimator of the sou...