z-logo
open-access-imgOpen Access
A Diagonally Weighted Binary Memristor Crossbar Architecture Based on Multilayer Neural Network for Better Accuracy Rate in Speech Recognition Application
Author(s) -
Minh-Huan Vo
Publication year - 2019
Publication title -
advances in electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 23
eISSN - 1844-7600
pISSN - 1582-7445
DOI - 10.4316/aece.2019.02010
Subject(s) - crossbar switch , memristor , computer science , binary number , artificial neural network , resistive random access memory , architecture , computer architecture , speech recognition , electronic engineering , artificial intelligence , electrical engineering , engineering , telecommunications , arithmetic , mathematics , voltage , art , visual arts

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom