Hybrid CMOS-Memristive Convolutional computation for on-chip learning
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.04.031
Abstract: Abstract Nanoscale memristive devices have elicited widespread interests in implementing compact and energy-efficient neuromorphic computing systems. In this paper, a learning system of hybrid CMOS-memristive convolutional computation for on-chip learning is presented. Two different methods… read more here.
Keywords: hybrid cmos; computation chip; convolutional computation; cmos memristive ... See more keywords
Deep Convolutional Computation Model for Feature Learning on Big Data in Internet of Things
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2017.2739340
Abstract: Currently, a large number of industrial data, usually referred to big data, are collected from Internet of Things (IoT). Big data are typically heterogeneous, i.e., each object in big datasets is multimodal, posing a challenging… read more here.
Keywords: big data; convolutional computation; computation model; deep convolutional ... See more keywords