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

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