Conference paper
Dilated Convolution for Time Series Learning
Wang Zhang, Subhro Das, et al.
ICASSP 2025
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.
Wang Zhang, Subhro Das, et al.
ICASSP 2025
Imran Nasim, Melanie Weber
SCML 2024
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JMLR
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IEEE Transactions on Neural Networks