Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

67

Voted

IJBC
2006

49views more IJBC 2006»

Adaptive Algorithms for Neural Network Supervised Learning: a Deterministic Optimization Approach

15 years 2 months ago

Adaptive Algorithms for Neural Network Supervised Learning: a Deterministic Optimization Approach

Download www.dcs.bbk.ac.uk

George D. Magoulas, Michael N. Vrahatis

Real-time Traffic

IJBC 2006 |

claim paper

Related Content

» Global Optimisation of Neural Networks Using a Deterministic Hybrid Approach

» Novel maximummargin training algorithms for supervised neural networks

» An approach to online optimization of heuristic coordination algorithms

» Unsupervised learning of echo state networks balancing the double pole

» Usage of Hybrid Neural Network Model MLPART for Navigation of Mobile Robot

» Neural Connect 4 A Connectionist Approach to the Game

» Training Neural Networks with GA Hybrid Algorithms

» Distributed ARTMAP a neural network for fast distributed supervised learning

» Deterministic Learning for MaximumLikelihood Estimation Through Neural Networks

Post Info
More Details (n/a)

Added	12 Dec 2010
Updated	12 Dec 2010
Type	Journal
Year	2006
Where	IJBC
Authors	George D. Magoulas, Michael N. Vrahatis

Comments (0)