Title :
Independent component analysis by memristor based neural networks
Author :
RaÌk, AÌdaÌm ; Cserey, György
Author_Institution :
Fac. of Inf. Technol. & Bionics, Pazmany Peter Catholic Univ., Budapest, Hungary
Abstract :
In this paper, we propose a memristor based circuit for independent component analysis. The structure of our circuit is described in detail. The simulation results show that our memristor based circuit structure can learn blind source separation in an unsupervised way.
Keywords :
blind source separation; circuit simulation; independent component analysis; memristors; neural nets; independent component analysis; memristor; neural network; unsupervised blind source separation; Conductivity; Educational institutions; Independent component analysis; Memristors; Neural networks; Neurons; Vectors;
Conference_Titel :
Cellular Nanoscale Networks and their Applications (CNNA), 2014 14th International Workshop on
Conference_Location :
Notre Dame, IN
DOI :
10.1109/CNNA.2014.6888626
