Analog Neural Network based on Memristor Crossbar Arrays

Yıldız H. K., Altun M., Güngördü A. D., Stan M. R.

11th International Conference on Electrical and Electronics Engineering (ELECO), Bursa, Turkey, 28 - 30 November 2019, pp.358-361 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.23919/eleco47770.2019.8990597
  • City: Bursa
  • Country: Turkey
  • Page Numbers: pp.358-361
  • Istanbul Technical University Affiliated: Yes


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 0.35 mu m CMOS technology. The results obtained are promising for the implementation of high density neural network.