Advances in Memristor Neural Networks : : Modeling and Applications / / edited by Calin Ciufudean.
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...
Saved in:
: | |
---|---|
TeilnehmendeR: | |
Place / Publishing House: | [Place of publication not identified] : : IntechOpen,, 2018. |
Year of Publication: | 2018 |
Language: | English |
Physical Description: | 1 online resource (124 pages) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
LEADER | 02402nam a2200457 i 4500 | ||
---|---|---|---|
001 | 993545411904498 | ||
005 | 20230822155133.0 | ||
006 | m o d | ||
007 | cr#||||||||||| | ||
008 | 221012s2018 xx ob 001 0 eng d | ||
020 | |a 1-83881-815-4 | ||
020 | |a 1-78984-116-X | ||
035 | |a (CKB)4970000000100225 | ||
035 | |a (NjHacI)994970000000100225 | ||
035 | |a (oapen)https://directory.doabooks.org/handle/20.500.12854/40308 | ||
035 | |a (EXLCZ)994970000000100225 | ||
040 | |a NjHacI |b eng |e rda |c NjHacl | ||
041 | 0 | |a eng | |
050 | 4 | |a QA39.2 |b .A383 2018 | |
082 | 0 | 4 | |a 510 |2 23 |
100 | 1 | |a Calin Ciufudean |4 auth | |
245 | 0 | 0 | |a Advances in Memristor Neural Networks : |b Modeling and Applications / |c edited by Calin Ciufudean. |
260 | |b IntechOpen |c 2018 | ||
264 | 1 | |a [Place of publication not identified] : |b IntechOpen, |c 2018. | |
300 | |a 1 online resource (124 pages) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
588 | |a Description based on: online resource; title from PDF information screen (InTech, viewed October 10, 2022). | ||
504 | |a Includes bibliographical references and index. | ||
506 | |a Open access |f Unrestricted online access |2 star | ||
520 | |a 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. | ||
546 | |a English | ||
650 | 0 | |a Mathematics. | |
653 | |a Engineering | ||
653 | |a Physical Sciences | ||
653 | |a Engineering and Technology | ||
653 | |a Electrical and Electronic Engineering | ||
653 | |a Mathematical Modeling | ||
776 | |z 1-78984-115-1 | ||
700 | 1 | |a Ciufudean, Calin, |e editor. | |
906 | |a BOOK | ||
ADM | |b 2023-08-24 01:23:00 Europe/Vienna |f system |c marc21 |a 2019-04-13 22:04:18 Europe/Vienna |g false | ||
AVE | |i DOAB Directory of Open Access Books |P DOAB Directory of Open Access Books |x https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5351682630004498&Force_direct=true |Z 5351682630004498 |b Available |8 5351682630004498 |