Abstract
In this paper, a new feed forward analog neural network is designed using a memristor based crossbar array architecture. This structure consists of positive and negative polarity connection matrices. In order to show the performance and usefulness of the proposed circuit, it is considered a sample application of iris data recognition. The proposed neural network implementation is approved by the simulation in Cadence design environment using 0.35μm CMOS technology. The results obtained are promising for the implementation of high density neural network.
Original language | English |
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Title of host publication | ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 358-361 |
Number of pages | 4 |
ISBN (Electronic) | 9786050112757 |
DOIs | |
Publication status | Published - Nov 2019 |
Event | 11th International Conference on Electrical and Electronics Engineering, ELECO 2019 - Bursa, Turkey Duration: 28 Nov 2019 → 30 Nov 2019 |
Publication series
Name | ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering |
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Conference
Conference | 11th International Conference on Electrical and Electronics Engineering, ELECO 2019 |
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Country/Territory | Turkey |
City | Bursa |
Period | 28/11/19 → 30/11/19 |
Bibliographical note
Publisher Copyright:© 2019 Chamber of Turkish Electrical Engineers.
Funding
This work is part of a project that has received funding from the European Union’s H2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement #691178
Funders | Funder number |
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Horizon 2020 Framework Programme | 691178 |