Memristor Technology: Synthesis and Modeling for Sensing and Security Applications, Heba Abunahla; Baker Mohammad

Автор: Ahmed G. Radwan; Mohammed E. Fouda
Название: On the Mathematical Modeling of Memristor, Memcapacitor, and Meminductor
ISBN: 3319366203 ISBN-13(EAN): 9783319366203
Издательство: Springer
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Цена: 95770.00 T
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Описание: This book introduces the basic fundamentals, models, emulators and analyses of mem-elements in the circuit theory with applications. It presents mathematical models, numerical results, circuit simulations, and experimental results for double-loop hysteresis behavior of mem-elements.

Автор: Andrew Adamatzky; Leon Chua
Название: Memristor Networks
ISBN: 3319026291 ISBN-13(EAN): 9783319026299
Издательство: Springer
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Цена: 158380.00 T
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Автор: Tetzlaff Ronald
Название: Memristors and Memristive Systems
ISBN: 1461490677 ISBN-13(EAN): 9781461490678
Издательство: Springer
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Цена: 130610.00 T
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Описание: This book provides a comprehensive overview of current research on memristors, memcapacitors and, meminductors. It demonstrates methods for the simulation of memristors and provides an introduction to neuromorphic modeling.

Автор: Sundarapandian Vaidyanathan; Christos Volos
Название: Advances in Memristors, Memristive Devices and Systems
ISBN: 3319517236 ISBN-13(EAN): 9783319517230
Издательство: Springer
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Цена: 204970.00 T
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Описание:

Chapter 1 Memristor Emulators A Note on Modeling.- Chapter 2 A Simple Oscillator using Memristor.- Chapter 3 A Hyperjerk Memristive System with Hidden Attractors.- Chapter 4 A Memristive System with Hidden Attractors and its Engineering Application.- Chapter 5 Adaptive Control, Synchronization and Circuit Simulation of a Memristor-Based.- Chapter 6 Modern System Design using Memristors.- Chapter 7 RF/Microwave Applications of Memristors.- Chapter 8 Theory, Modeling and Design of Memristor-Based Min-Max Circuits.- Chapter 9 Analysis of a 4-D Hyperchaotic Fractional-Order Memristive System with Hidden Attractors.- Chapter 10 Adaptive Control and Synchronization of a Memristor-Based Shinriki's System.

Автор: Ahmed G. Radwan; Mohammed E. Fouda
Название: On the Mathematical Modeling of Memristor, Memcapacitor, and Meminductor
ISBN: 3319174908 ISBN-13(EAN): 9783319174907
Издательство: Springer
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Цена: 121890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces the basic fundamentals, models, emulators and analyses of mem-elements in the circuit theory with applications. It presents mathematical models, numerical results, circuit simulations, and experimental results for double-loop hysteresis behavior of mem-elements.

Автор: Ioannis Vourkas; Georgios Ch. Sirakoulis
Название: Memristor-Based Nanoelectronic Computing Circuits and Architectures
ISBN: 3319373595 ISBN-13(EAN): 9783319373591
Издательство: Springer
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Цена: 95770.00 T
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Описание: High-density memristive data storage combined with memristive circuit-design paradigms and computational tools applied to solve NP-hard artificial intelligence problems, as well as memristive arithmetic-logic units, certainly pave the way for a very promising memristive era in future electronic systems.

Автор: Iu Herbert Ho-Ching
Название: Development of Memristor Based Circuits
ISBN: 9814383384 ISBN-13(EAN): 9789814383387
Издательство: World Scientific Publishing
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Цена: 68640.00 T
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Описание: In 1971, Leon O Chua presented the formulation of a memristor, which was postulated as the fourth circuit element in electrical circuit theory - one that could join the existing core group of elements: capacitor, resistor and inductor. This book describes advanced research on significant issues in the field of memristors.

Автор: Ioannis Vourkas; Georgios Ch. Sirakoulis
Название: Memristor-Based Nanoelectronic Computing Circuits and Architectures
ISBN: 3319226460 ISBN-13(EAN): 9783319226460
Издательство: Springer
Рейтинг:
Цена: 121890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: High-density memristive data storage combined with memristive circuit-design paradigms and computational tools applied to solve NP-hard artificial intelligence problems, as well as memristive arithmetic-logic units, certainly pave the way for a very promising memristive era in future electronic systems.