Memristive Perceptron for Combinational Logic Classification
Joint Authors
Duan, Shukai
Duan, Meitao
Wang, Lidan
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-05-29
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
The resistance of the memristor depends upon the past history of the input current or voltage; so it can function as synapse in neural networks.
In this paper, a novel perceptron combined with the memristor is proposed to implement the combinational logic classification.
The relationship between the memristive conductance change and the synapse weight update is deduced, and the memristive perceptron model and its synaptic weight update rule are explored.
The feasibility of the novel memristive perceptron for implementing the combinational logic classification (NAND, NOR, XOR, and NXOR) is confirmed by MATLAB simulation.
American Psychological Association (APA)
Wang, Lidan& Duan, Meitao& Duan, Shukai. 2013. Memristive Perceptron for Combinational Logic Classification. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1032039
Modern Language Association (MLA)
Wang, Lidan…[et al.]. Memristive Perceptron for Combinational Logic Classification. Mathematical Problems in Engineering No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-1032039
American Medical Association (AMA)
Wang, Lidan& Duan, Meitao& Duan, Shukai. Memristive Perceptron for Combinational Logic Classification. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1032039
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032039