TY  - JOUR 
AU  - Krömer, Pavel
AU  - Corchado Rodríguez, Emilio Santiago
AU  - Snášel, Václav
AU  - Platos, Jan
AU  - García Hernández, Laura
PY  - 2012
SN  - 978-3-642-33265-4 (Print) / 978-3-642-33266-1 (Online)
SN  - 0302-9743 (Print) / 1611-3349 (Online)
UR  - http://hdl.handle.net/10366/134874
AB  - This study introduces a novel fine-grained parallel implementation of a neural principal component analysis (neural PCA) variant and the maximum Likelihood Hebbian Learning (MLHL) network designed for modern many-core graphics processing units (GPUs)....
LA  - en
PB  - Springer Science + Business Media
KW  - Computer Science
TI  - Neural PCA and Maximum Likelihood Hebbian Learning on the GPU
ER  -