TY  - BOOK
AU  - Calin Ciufudean
AB  - Nowadays, scientific research deals with alternative solutions for creating non-traditional computing systems, such as neural network architectures where the stochastic nature and live dynamics of memristive models play a key role. The features of memristors make it possible to direct processing and analysis of both biosystems and systems driven by artificial intelligence, as well as develop plausible physical models of spiking neural networks with self-organization. This book deals with advanced applications illustrating these concepts, and delivers an important contribution for the achievement of the next generation of intelligent hybrid biostructures. Different modeling and simulation tools can deliver an alternative to funding the theoretical approach as well as practical implementation of memristive systems.
DO  - 10.5772/intechopen.75147
ID  - OAPEN ID: 37549
KW  - Engineering
KW  - Physical Sciences
KW  - Engineering and Technology
KW  - Electrical and Electronic Engineering
KW  - Mathematical Modeling
L1  - https://www.intechopen.com/books/advances-in-memristor-neural-networks-modeling-and-applications
LA  - English
LK  - https://directory.doabooks.org/handle/20.500.12854/40308
PB  - IntechOpen
PY  - 2018
SN  - 9781789841152
SN  - 9781789841169
TI  - Advances in Memristor Neural Networks - Modeling and Applicationsnull
ER  - 
