Space-vector structure based synthesis for hierarchically coupled associative memories
AG Reis, JL Acebal, RM Gomes… - 2006 Ninth Brazilian …, 2006 - ieeexplore.ieee.org
2006 Ninth Brazilian Symposium on Neural Networks (SBRN'06), 2006•ieeexplore.ieee.org
The present work introduces a proposal for the training of hierarchically coupled associative
memories. The method is based on the eigenvalue and eigenvector structure of the space-
vector and on suitable changes the space basis. The approach shows to be useful to the
class of models hierarchically coupled associative memories, which has the memorization
process organized in many levels of degreesof-freedom and for which the training behaves
as a synthesis of previously desired states.
memories. The method is based on the eigenvalue and eigenvector structure of the space-
vector and on suitable changes the space basis. The approach shows to be useful to the
class of models hierarchically coupled associative memories, which has the memorization
process organized in many levels of degreesof-freedom and for which the training behaves
as a synthesis of previously desired states.
The present work introduces a proposal for the training of hierarchically coupled associative memories. The method is based on the eigenvalue and eigenvector structure of the space-vector and on suitable changes the space basis. The approach shows to be useful to the class of models hierarchically coupled associative memories, which has the memorization process organized in many levels of degreesof- freedom and for which the training behaves as a synthesis of previously desired states.
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