TY - GEN
T1 - Parallel architectures for artificial neural nets.
AU - Kung, S. Y.
PY - 1988
Y1 - 1988
N2 - The key aspects of the modeling, algorithm, and architecture for artificial neural nets (ANNs) is reviewed. A programmable systolic array meant for a variety of connectivity patterns for ANNs is proposed. Considered in the design are both the search and learning phases of a class of ANNs. A system-theoretic approach is adopted to elucidate modeling issues for ANNs. On this basis the issues of expressibility and discrimination, fault tolerance and generalization, size of hidden units/layers, interconnectivity patterns, and circuit model for analog ANN implementations are addressed.
AB - The key aspects of the modeling, algorithm, and architecture for artificial neural nets (ANNs) is reviewed. A programmable systolic array meant for a variety of connectivity patterns for ANNs is proposed. Considered in the design are both the search and learning phases of a class of ANNs. A system-theoretic approach is adopted to elucidate modeling issues for ANNs. On this basis the issues of expressibility and discrimination, fault tolerance and generalization, size of hidden units/layers, interconnectivity patterns, and circuit model for analog ANN implementations are addressed.
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M3 - Conference contribution
AN - SCOPUS:0024143360
SN - 0818688602
T3 - Proc Int Conf on Systolic Arrays
SP - 163
EP - 174
BT - Proc Int Conf on Systolic Arrays
PB - Publ by IEEE
ER -