The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
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Yoshifumi OGAWA, Iku NEMOTO, "Derivation of the Iteration Algorithm for the Modified Pseudo-Inverse Model for Associative Memory from the Consideration of the Energy Function" in IEICE TRANSACTIONS on Information,
vol. E82-D, no. 2, pp. 503-507, February 1999, doi: .
Abstract: The pseudo-inverse model for the associative memory has an iterative algorithm converging to its weight matrix. The present letter shows that the same algorithm except for the lack of self couplings can be derived by simple consideration of the energy of the network state.
URL: https://global.ieice.org/en_transactions/information/10.1587/e82-d_2_503/_p
부
@ARTICLE{e82-d_2_503,
author={Yoshifumi OGAWA, Iku NEMOTO, },
journal={IEICE TRANSACTIONS on Information},
title={Derivation of the Iteration Algorithm for the Modified Pseudo-Inverse Model for Associative Memory from the Consideration of the Energy Function},
year={1999},
volume={E82-D},
number={2},
pages={503-507},
abstract={The pseudo-inverse model for the associative memory has an iterative algorithm converging to its weight matrix. The present letter shows that the same algorithm except for the lack of self couplings can be derived by simple consideration of the energy of the network state.},
keywords={},
doi={},
ISSN={},
month={February},}
부
TY - JOUR
TI - Derivation of the Iteration Algorithm for the Modified Pseudo-Inverse Model for Associative Memory from the Consideration of the Energy Function
T2 - IEICE TRANSACTIONS on Information
SP - 503
EP - 507
AU - Yoshifumi OGAWA
AU - Iku NEMOTO
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E82-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 1999
AB - The pseudo-inverse model for the associative memory has an iterative algorithm converging to its weight matrix. The present letter shows that the same algorithm except for the lack of self couplings can be derived by simple consideration of the energy of the network state.
ER -