TY - GEN
T1 - A localized learning rule for analog VLSI implementation of neural networks
AU - Wasaki, Hiroyuki
AU - Horio, Yoshihiko
AU - Nakamura, Shogo
PY - 1991/12/1
Y1 - 1991/12/1
N2 - A modified Hebbian type learning rule for self-organization which uses only the local information is proposed. As the result of computer simulations of self-organizing networks, the validity of the rule was confirmed and learning speed was improved. Furthermore, circuit examples for implementing the learning rule are proposed.
AB - A modified Hebbian type learning rule for self-organization which uses only the local information is proposed. As the result of computer simulations of self-organizing networks, the validity of the rule was confirmed and learning speed was improved. Furthermore, circuit examples for implementing the learning rule are proposed.
UR - http://www.scopus.com/inward/record.url?scp=0026385064&partnerID=8YFLogxK
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M3 - Conference contribution
AN - SCOPUS:0026385064
SN - 0780300815
T3 - Midwest Symposium on Circuits and Systems
SP - 17
EP - 20
BT - Midwest Symposium on Circuits and Systems
PB - Publ by IEEE
T2 - 33rd Midwest Symposium on Circuits and Systems
Y2 - 12 August 1990 through 15 August 1990
ER -