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Summary: A Complex Valued Hebbian Learning Algorithm \Lambday
Maria Cristina Felippetto De Castro
cristina@ee.pucrs.br
Fernando C'esar C. De Castro
decastro@ee.pucrs.br
Jos'e Nelson Amaral
amaral@ee.pucrs.br
Paulo Roberto G. Franco
pfranco@ee.pucrs.br
Electrical Engineering Department
Pontif'icia Universidade Cat'olica do Rio Grande do Sul
90619900 Porto Alegre RS Brazil
Abstract
We present a new training rule for a singlelayered lin
ear network with complex valued weights and activa
tion levels. This novel network can be used to extract
the principal components of a complex valued data set.
We also introduce a new training method that reduces
the training time of the complex valued as well as of
the real valued network. The use of the new network
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