Handwritten-digit recognition by hybrid convolutional neural network based on Hfo2 memristive spiking-neuron

Handwritten-digit recognition by hybrid convolutional neural network based on Hfo2 memristive spiking-neuron

Although there is a huge progress in complementary-metal-oxide-semiconductor (CMOS) technology, construction of an artificial neural network using CMOS technology to realize the functionality comparable with that of human cerebral cortex containing 1010–1011 neurons is still of great challenge. Rece...

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Bibliographic Details
Main Authors: Yin, Y., Chen, Tu Pei, Hosoka, Sumio, Liu, Y., Wang, J. J., Hu, S. G., Zhan, X. T., Yu, Q., Liu, Z.
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2018
Subjects:
Neural Network
Handwritten-digit Recognition
DRNTU::Engineering::Electrical and electronic engineering
Online Access:https://hdl.handle.net/10356/89129
http://hdl.handle.net/10220/46115

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