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

• 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: 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
• Institution: Nanyang Technological University

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...