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, Türkiye, 28 - 30 Kasım 2019, ss.358-361 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.23919/eleco47770.2019.8990597
  • Basıldığı Şehir: Bursa
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.358-361
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

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.