Advances In Memristor Neural Networks Modeling And Applications
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Advances In Memristor Neural Networks Modeling And Applications
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Author : Calin Ciufudean
language : en
Publisher:
Release Date : 2018
Advances In Memristor Neural Networks Modeling And Applications written by Calin Ciufudean and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Mathematics categories.
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.
Advances In Memristor Neural Networks
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Author : Calin Ciufudean
language : en
Publisher: BoD – Books on Demand
Release Date : 2018-10-03
Advances In Memristor Neural Networks written by Calin Ciufudean and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-03 with Mathematics categories.
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.
Memristor And Memristive Neural Networks
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Author : Alex James
language : en
Publisher: BoD – Books on Demand
Release Date : 2018-04-04
Memristor And Memristive Neural Networks written by Alex James and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-04 with Computers categories.
This book covers a range of models, circuits and systems built with memristor devices and networks in applications to neural networks. It is divided into three parts: (1) Devices, (2) Models and (3) Applications. The resistive switching property is an important aspect of the memristors, and there are several designs of this discussed in this book, such as in metal oxide/organic semiconductor nonvolatile memories, nanoscale switching and degradation of resistive random access memory and graphene oxide-based memristor. The modelling of the memristors is required to ensure that the devices can be put to use and improve emerging application. In this book, various memristor models are discussed, from a mathematical framework to implementations in SPICE and verilog, that will be useful for the practitioners and researchers to get a grounding on the topic. The applications of the memristor models in various neuromorphic networks are discussed covering various neural network models, implementations in A/D converter and hierarchical temporal memories.
Advanced Memristor Modeling
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Author : Valeri Mladenov
language : en
Publisher: MDPI
Release Date : 2019-02-19
Advanced Memristor Modeling written by Valeri Mladenov and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-19 with Technology & Engineering categories.
The investigation of new memory schemes, neural networks, computer systems and many other improved electronic devices is very important for future generation's electronic circuits and for their widespread application in all the areas of industry. In this aspect the analysis of new efficient and advanced electronic elements and circuits is an essential field of the highly developed electrical and electronic engineering. The resistance-switching phenomenon, observed in many amorphous oxides has been investigated since 1970 and it is a promising technology for constructing new electronic memories. It has been established that such oxide materials have the ability for changing their conductance in accordance to the applied voltage and memorizing their state for a long-time interval. Similar behaviour has been predicted for the memristor element by Leon Chua in 1971. The memristor is proposed in accordance to symmetry considerations and the relationships between the four basic electric quantities - electric current i, voltage v, charge q and magnetic flux Ψ. The memristor is an essential passive one-port element together with the resistor, inductor, and capacitor. The Williams HP research group has made a link between resistive switching devices, and the memristor proposed by Chua. A number of scientific papers related to memristors and memristor devices have been issued and several memristor models have been proposed. The memristor is a highly nonlinear component. It relates the electric charge q and the flux linkage, expressed as a time integral of the voltage. The memristor element has the important capability for remembering the electric charge passed through its cross-section and its respective resistance, when the electrical signals are switched off. Due to its nano-scale dimensions, non-volatility and memorizing properties, the memristor is a sound potential candidate for application in computer high-density memories, artificial neural networks and in many other electronic devices.
Nanoelectronic Devices And Applications
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Author : Trupti Ranjan Lenka
language : en
Publisher: Bentham Science Publishers
Release Date : 2024-07-02
Nanoelectronic Devices And Applications written by Trupti Ranjan Lenka and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-02 with Technology & Engineering categories.
Nanoelectronic Devices and Applications presents reviews on recent advances in nanoelectronic device design and new directions for their practical use. The volume includes 16 edited chapters that cover novel material systems, band engineering, modelling and simulations, fabrication and characterization techniques, and their emerging applications. The discussions presented in this book are based on current understandings on innovations and future trends, and references are provided for advanced scholars. Chapter 1 presents an overview of recent innovations and future prospects in III-nitride semiconductor technologies for RF, power, digital and quantum applications. Chapter 2 reports new trends in GaN-based optical devices for sensing and micro-display applications. Chapter 3 shows current interests in nanophosphors and their utilizations in improving device performance of InGaN nanowire light-emitting diodes (LEDs). Recent studies on the effect of potential profile on the carrier transport in AlGaAs based double quantum well structures and their applications are presented in Chapter 4. The recent progress in high-electron-mobility transistors (HEMTs) is presented through Chapters 5, 6, and 7. A comprehensive review on β-Ga2O3 emphasizing material properties, growth approaches, and its applications for next-generation high-power nanoelectronics; the effect of dielectric layers on the characteristics of AlN/β-Ga2O3 HEMTs are presented in Chapter 8 and 9 respectively. Chapters 10-14 summarize the recent studies in field-effect transistors (FETs) adopting different materials and structures. Chapter 15 presents current research in 2D Tungsten Diselenide (WSe2) with special focus on the material properties, device structures, applications, and challenges. Finally, Chapter 16 presents a systematic review of memristors, and memristive semiconductor devices. The book is intended as a primary resource for elective subjects in advanced electronics and computer engineering courses at university level. Researchers and industry professionals will also learn about emerging trends and state-of-the-art research in nanoelectronics.
Advances In Memristor And Memristor Based Applications
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Author : Jun Mou
language : en
Publisher: Frontiers Media SA
Release Date : 2022-10-11
Advances In Memristor And Memristor Based Applications written by Jun Mou and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-11 with Science categories.
Advances In Neuromorphic Memristor Science And Applications
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Author : Robert Kozma
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-06-28
Advances In Neuromorphic Memristor Science And Applications written by Robert Kozma and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-28 with Medical categories.
Physical implementation of the memristor at industrial scale sparked the interest from various disciplines, ranging from physics, nanotechnology, electrical engineering, neuroscience, to intelligent robotics. As any promising new technology, it has raised hopes and questions; it is an extremely challenging task to live up to the high expectations and to devise revolutionary and feasible future applications for memristive devices. The possibility of gathering prominent scientists in the heart of the Silicon Valley given by the 2011 International Joint Conference on Neural Networks held in San Jose, CA, has offered us the unique opportunity of organizing a series of special events on the present status and future perspectives in neuromorphic memristor science. This book presents a selection of the remarkable contributions given by the leaders of the field and it may serve as inspiration and future reference to all researchers that want to explore the extraordinary possibilities given by this revolutionary concept.
Memristors For Neuromorphic Circuits And Artificial Intelligence Applications
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Author : Jordi Suñé
language : en
Publisher: MDPI
Release Date : 2020-04-09
Memristors For Neuromorphic Circuits And Artificial Intelligence Applications written by Jordi Suñé and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-09 with Technology & Engineering categories.
Artificial Intelligence (AI) has found many applications in the past decade due to the ever increasing computing power. Artificial Neural Networks are inspired in the brain structure and consist in the interconnection of artificial neurons through artificial synapses. Training these systems requires huge amounts of data and, after the network is trained, it can recognize unforeseen data and provide useful information. The so-called Spiking Neural Networks behave similarly to how the brain functions and are very energy efficient. Up to this moment, both spiking and conventional neural networks have been implemented in software programs running on conventional computing units. However, this approach requires high computing power, a large physical space and is energy inefficient. Thus, there is an increasing interest in developing AI tools directly implemented in hardware. The first hardware demonstrations have been based on CMOS circuits for neurons and specific communication protocols for synapses. However, to further increase training speed and energy efficiency while decreasing system size, the combination of CMOS neurons with memristor synapses is being explored. The memristor is a resistor with memory which behaves similarly to biological synapses. This book explores the state-of-the-art of neuromorphic circuits implementing neural networks with memristors for AI applications.
Memristors
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Author : Alex James
language : en
Publisher: BoD – Books on Demand
Release Date : 2020-05-27
Memristors written by Alex James and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-27 with Technology & Engineering categories.
This Edited Volume Memristors - Circuits and Applications of Memristor Devices is a collection of reviewed and relevant research chapters, offering a comprehensive overview of recent developments in the field of Engineering. The book comprises single chapters authored by various researchers and edited by an expert active in the physical sciences, engineering, and technology research areas. All chapters are complete in itself but united under a common research study topic. This publication aims at providing a thorough overview of the latest research efforts by international authors on physical sciences, engineering, and technology,and open new possible research paths for further novel developments.
Advances In Memristors Memristive Devices And Systems
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Author : Sundarapandian Vaidyanathan
language : en
Publisher: Springer
Release Date : 2017-02-15
Advances In Memristors Memristive Devices And Systems written by Sundarapandian Vaidyanathan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-15 with Technology & Engineering categories.
This book reports on the latest advances in and applications of memristors, memristive devices and systems. It gathers 20 contributed chapters by subject experts, including pioneers in the field such as Leon Chua (UC Berkeley, USA) and R.S. Williams (HP Labs, USA), who are specialized in the various topics addressed in this book, and covers broad areas of memristors and memristive devices such as: memristor emulators, oscillators, chaotic and hyperchaotic memristive systems, control of memristive systems, memristor-based min-max circuits, canonic memristors, memristive-based neuromorphic applications, implementation of memristor-based chaotic oscillators, inverse memristors, linear memristor devices, delayed memristive systems, flux-controlled memristive emulators, etc. Throughout the book, special emphasis is given to papers offering practical solutions and design, modeling, and implementation insights to address current research problems in memristors, memristive devices and systems. As such, it offers a valuable reference book on memristors and memristive devices for graduate students and researchers with a basic knowledge of electrical and control systems engineering.