View : 65 Download: 35

Memristor Neural Network Training with Clock Synchronous Neuromorphic System

Title
Memristor Neural Network Training with Clock Synchronous Neuromorphic System
Authors
Jo, SuminSun, WookyungKim, BokyungKim, SunheePark, JunheeShin, Hyungsoon
Ewha Authors
신형순박준희선우경
SCOPUS Author ID
신형순scopus; 박준희scopus
Issue Date
2019
Journal Title
MICROMACHINES
ISSN
2072-666XJCR Link
Citation
MICROMACHINES vol. 10, no. 6
Keywords
neuromorphic systemHebbian trainingguide trainingmemristorimage classification
Publisher
MDPI
Indexed
SCIE; SCOPUS WOS
Document Type
Article
Abstract
Memristor devices are considered to have the potential to implement unsupervised learning, especially spike timing-dependent plasticity (STDP), in the field of neuromorphic hardware research. In this study, a neuromorphic hardware system for multilayer unsupervised learning was designed, and unsupervised learning was performed with a memristor neural network. We showed that the nonlinear characteristic memristor neural network can be trained by unsupervised learning only with the correlation between inputs and outputs. Moreover, a method to train nonlinear memristor devices in a supervised manner, named guide training, was devised. Memristor devices have a nonlinear characteristic, which makes implementing machine learning algorithms, such as backpropagation, difficult. The guide-training algorithm devised in this paper updates the synaptic weights by only using the correlations between inputs and outputs, and therefore, neither complex mathematical formulas nor computations are required during the training. Thus, it is considered appropriate to train a nonlinear memristor neural network. All training and inference simulations were performed using the designed neuromorphic hardware system. With the system and memristor neural network, the image classification was successfully done using both the Hebbian unsupervised training and guide supervised training methods.
DOI
10.3390/mi10060384
Appears in Collections:
엘텍공과대학 > 전자공학과 > Journal papers
Files in This Item:
Memristor Neural Network Training.pdf(1.89 MB) Download
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE