Cargando…
Handwritten-Digit Recognition by Hybrid Convolutional Neural Network based on HfO(2) 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 10(10)–10(11) neurons is still of great challenge....
Autores principales: | Wang, J. J., Hu, S. G., Zhan, X. T., Yu, Q., Liu, Z., Chen, T. P., Yin, Y., Hosaka, Sumio, Liu, Y. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6105732/ https://www.ncbi.nlm.nih.gov/pubmed/30135449 http://dx.doi.org/10.1038/s41598-018-30768-0 |
Ejemplares similares
-
HfO(x)/AlO(y) Superlattice‐Like Memristive Synapse
por: Wang, Chengxu, et al.
Publicado: (2022) -
Convolutional ensembles for Arabic Handwritten Character and Digit Recognition
por: Palatnik de Sousa, Iam
Publicado: (2018) -
Improved Handwritten Digit Recognition Using Convolutional Neural Networks (CNN)
por: Ahlawat, Savita, et al.
Publicado: (2020) -
HfO(x)/AlO(y) Superlattice‐Like Memristive Synapse (Adv. Sci. 21/2022)
por: Wang, Chengxu, et al.
Publicado: (2022) -
The Characteristics of Binary Spike-Time-Dependent Plasticity in HfO(2)-Based RRAM and Applications for Pattern Recognition
por: Zhou, Zheng, et al.
Publicado: (2017)