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Memristive computing

Yu, Yongbin.

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Memristive computing

Record Type:	Electronic resources : Monograph/item
Title/Author:	Memristive computing/ by Yongbin Yu ... [et al.].
other author:	Yu, Yongbin.
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xvi, 376 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	Chua Corsage Memristor -- Memristor Model and its Emulator -- Chaotic Circuits based on Memristor -- Memristor-based En/decryption System -- Filter Design based on Memristive Family -- Memristive Filter for Signal Processing -- Memristor network-based Swarm Intelligence -- Memristor-based Neural Network -- Memristive Neural Network Stability Analysis -- Memristive Neural Network Synchronization Analysis -- Mismatched Memristive Neural Network Synchronization Analysis on Time Scales.
Contained By:	Springer Nature eBook
Subject:	Memristors. -
Online resource:	https://doi.org/10.1007/978-981-96-0332-9
ISBN:	9789819603329

Memristive computing
Memristive computing[electronic resource] /by Yongbin Yu ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xvi, 376 p. :ill. (chiefly color), digital ;24 cm.

Chua Corsage Memristor -- Memristor Model and its Emulator -- Chaotic Circuits based on Memristor -- Memristor-based En/decryption System -- Filter Design based on Memristive Family -- Memristive Filter for Signal Processing -- Memristor network-based Swarm Intelligence -- Memristor-based Neural Network -- Memristive Neural Network Stability Analysis -- Memristive Neural Network Synchronization Analysis -- Mismatched Memristive Neural Network Synchronization Analysis on Time Scales.

This book delves into a wide array of topics, ranging from memristor and its emulator to chaotic circuits based on memristor, memristor-based en/decryption systems, filter design based on memristive family, memristive filter for signal processing, memristor network-based swarm intelligence, dynamic analysis of memristive neural networks, and the application of memristor-based neural networks. It provides a comprehensive and systematic exploration of how memristors empower and drive cutting-edge research in neuromorphic computing and artificial intelligence. This book encourages fostering interdisciplinary information literacy and cultivating cross-disciplinary computational thinking. This book plays a pivotal role in embracing and advancing the development of neuromorphic computing. Through profound foundational theories and academic analysis methods, this book guides artificial intelligence graduate students and engineering professionals in constructing a comprehensive knowledge and technological framework for memristor research.

ISBN: 9789819603329

Standard No.: 10.1007/978-981-96-0332-9doiSubjects--Topical Terms:

2016311
Memristors.

LC Class. No.: TK7872.R4

Dewey Class. No.: 621.38154

Memristive computing
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245 0 0 $a Memristive computing $h [electronic resource] / $c by Yongbin Yu ... [et al.].
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a xvi, 376 p. : $b ill. (chiefly color), digital ; $c 24 cm.
505 0 $a Chua Corsage Memristor -- Memristor Model and its Emulator -- Chaotic Circuits based on Memristor -- Memristor-based En/decryption System -- Filter Design based on Memristive Family -- Memristive Filter for Signal Processing -- Memristor network-based Swarm Intelligence -- Memristor-based Neural Network -- Memristive Neural Network Stability Analysis -- Memristive Neural Network Synchronization Analysis -- Mismatched Memristive Neural Network Synchronization Analysis on Time Scales.
520 $a This book delves into a wide array of topics, ranging from memristor and its emulator to chaotic circuits based on memristor, memristor-based en/decryption systems, filter design based on memristive family, memristive filter for signal processing, memristor network-based swarm intelligence, dynamic analysis of memristive neural networks, and the application of memristor-based neural networks. It provides a comprehensive and systematic exploration of how memristors empower and drive cutting-edge research in neuromorphic computing and artificial intelligence. This book encourages fostering interdisciplinary information literacy and cultivating cross-disciplinary computational thinking. This book plays a pivotal role in embracing and advancing the development of neuromorphic computing. Through profound foundational theories and academic analysis methods, this book guides artificial intelligence graduate students and engineering professionals in constructing a comprehensive knowledge and technological framework for memristor research.
650 0 $a Memristors. $3 2016311
650 1 4 $a Neural Circuits. $3 3597311
650 2 4 $a Computer Memory Structure. $3 3722243
650 2 4 $a Mathematical Models of Cognitive Processes and Neural Networks. $3 1619875
650 2 4 $a Digital and Analog Signal Processing. $3 3538815
650 2 4 $a Electronic Circuits and Systems. $3 3538814
700 1 $a Yu, Yongbin. $3 3783799
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-96-0332-9
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