Masami Akamine, Jitendra Ajmera
IEICE Trans Inf Syst
We propose a new neural network structure that is compatible with silicon technology. This network has the feature that the learning parameter is embodied in the thresholds of MOSFET devices and is local in character. The network is shown to be capable of forming associations by example as well as exhibiting the desirable features of the Hopfield type networks. © 1989.
Masami Akamine, Jitendra Ajmera
IEICE Trans Inf Syst
Ran Iwamoto, Kyoko Ohara
ICLC 2023
Miao Guo, Yong Tao Pei, et al.
WCITS 2011
Haoran Liao, Derek S. Wang, et al.
Nature Machine Intelligence