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Memristive Computing / / by Yongbin Yu, Xiangxiang Wang, Xiao Feng, Jiarun Shen, Nyima Tashi, Pinaki Mazumder



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Autore: Yu Yongbin Visualizza persona
Titolo: Memristive Computing / / by Yongbin Yu, Xiangxiang Wang, Xiao Feng, Jiarun Shen, Nyima Tashi, Pinaki Mazumder Visualizza cluster
Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Edizione: 1st ed. 2025.
Descrizione fisica: 1 online resource (XVI, 376 p. 255 illus., 185 illus. in color.)
Disciplina: 573.85
Soggetto topico: Neural circuitry
Computer storage devices
Memory management (Computer science)
Neural networks (Computer science)
Signal processing
Electronic circuits
Neural Circuits
Computer Memory Structure
Mathematical Models of Cognitive Processes and Neural Networks
Digital and Analog Signal Processing
Electronic Circuits and Systems
Persona (resp. second.): WangXiangxiang
FengXiao
ShenJiarun
TashiNyima
MazumderPinaki
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Memristive Computing  Visualizza cluster
ISBN: 981-9603-32-3
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910999780303321
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