Title :
The research of memristor-based neural network components operation accuracy in control and communication systems
Author :
Danilin, S.N. ; Shchanikov, S.A. ; Galushkin, A.I.
Author_Institution :
Murom Inst., Vladimir State Univ., Murom, Russia
Abstract :
This research is aimed to create a general approach to developing methods and algorithms designed for defining and providing memristor-based artificial neural network (ANNM) components operation accuracy in control and communication systems. Here we list factors which affect the operation accuracy of memristors usied as the synapses in the ANNM. We have created Simscape models of memristor neurons and ANNM for investigating the influence of these factors on the ANNM accuracy. This article presents the results of the initial phase of our research.
Keywords :
control systems; memristor circuits; neurocontrollers; ANNM components operation accuracy; Simscape models; communication system; control system; memristor neurons; memristor-based artificial neural network components operation accuracy; Accuracy; Algorithm design and analysis; Artificial neural networks; Computational modeling; Memristors; Neurons; Solid modeling; artificial neural network; control and communication systems; memristive systems; memristor; neurocomputers; operation accuracy;
Conference_Titel :
Control and Communications (SIBCON), 2015 International Siberian Conference on
Conference_Location :
Omsk
Print_ISBN :
978-1-4799-7102-2
DOI :
10.1109/SIBCON.2015.7147034