TY  - JOUR 
AU  - Corchado Rodríguez, Emilio Santiago
AU  - MacDonald, Donald
AU  - Fyfe, Colin
PY  - 2004
SN  - 1384-5810 (Print)
UR  - http://hdl.handle.net/10366/134458
AB  - In this paper, we review an extension of the learning rules in a Principal Component Analysis network which has been derived to be optimal for a specific probability density function. We note that this probability density function is one of a family...
LA  - en
PB  - Springer Science + Business Media
KW  - Computer Science
TI  - Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit
ER  -