Advances In Memristor Neural Networks

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Advances in Memristor Neural Networks

Author : Calin Ciufudean
Publisher : BoD – Books on Demand
ISBN 13 : 1789841151
Total Pages : 126 pages
Book Rating : 4.7/5 (898 download)

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Book Synopsis Advances in Memristor Neural Networks by : Calin Ciufudean

Download or read book Advances in Memristor Neural Networks written by Calin Ciufudean and published by BoD – Books on Demand. This book was released on 2018-10-03 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Neuromorphic Memristor Science and Applications

Author : Robert Kozma
Publisher : Springer Science & Business Media
ISBN 13 : 9400744919
Total Pages : 318 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Advances in Neuromorphic Memristor Science and Applications by : Robert Kozma

Download or read book Advances in Neuromorphic Memristor Science and Applications written by Robert Kozma and published by Springer Science & Business Media. This book was released on 2012-06-28 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances in Memristor Neural Networks - Modeling and Applications

Author : Calin Ciufudean
Publisher :
ISBN 13 : 9781789841169
Total Pages : 124 pages
Book Rating : 4.8/5 (411 download)

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Book Synopsis Advances in Memristor Neural Networks - Modeling and Applications by : Calin Ciufudean

Download or read book Advances in Memristor Neural Networks - Modeling and Applications written by Calin Ciufudean and published by . This book was released on 2018 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Alex James
Publisher : BoD – Books on Demand
ISBN 13 : 9535139479
Total Pages : 326 pages
Book Rating : 4.5/5 (351 download)

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Book Synopsis Memristor and Memristive Neural Networks by : Alex James

Download or read book Memristor and Memristive Neural Networks written by Alex James and published by BoD – Books on Demand. This book was released on 2018-04-04 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Valeri Mladenov
Publisher : MDPI
ISBN 13 : 3038971049
Total Pages : 184 pages
Book Rating : 4.0/5 (389 download)

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Book Synopsis Advanced Memristor Modeling by : Valeri Mladenov

Download or read book Advanced Memristor Modeling written by Valeri Mladenov and published by MDPI. This book was released on 2019-02-19 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Memristors for Neuromorphic Circuits and Artificial Intelligence Applications

Author : Jordi Suñé
Publisher : MDPI
ISBN 13 : 3039285769
Total Pages : 244 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Memristors for Neuromorphic Circuits and Artificial Intelligence Applications by : Jordi Suñé

Download or read book Memristors for Neuromorphic Circuits and Artificial Intelligence Applications written by Jordi Suñé and published by MDPI. This book was released on 2020-04-09 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances in Memristors, Memristive Devices and Systems

Author : Sundarapandian Vaidyanathan
Publisher : Springer
ISBN 13 : 3319517244
Total Pages : 513 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Advances in Memristors, Memristive Devices and Systems by : Sundarapandian Vaidyanathan

Download or read book Advances in Memristors, Memristive Devices and Systems written by Sundarapandian Vaidyanathan and published by Springer. This book was released on 2017-02-15 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Memristor Networks

Author : Andrew Adamatzky
Publisher : Springer Science & Business Media
ISBN 13 : 3319026305
Total Pages : 716 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Memristor Networks by : Andrew Adamatzky

Download or read book Memristor Networks written by Andrew Adamatzky and published by Springer Science & Business Media. This book was released on 2013-12-18 with total page 716 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using memristors one can achieve circuit functionalities that are not possible to establish with resistors, capacitors and inductors, therefore the memristor is of great pragmatic usefulness. Potential unique applications of memristors are in spintronic devices, ultra-dense information storage, neuromorphic circuits and programmable electronics. Memristor Networks focuses on the design, fabrication, modelling of and implementation of computation in spatially extended discrete media with many memristors. Top experts in computer science, mathematics, electronics, physics and computer engineering present foundations of the memristor theory and applications, demonstrate how to design neuromorphic network architectures based on memristor assembles, analyse varieties of the dynamic behaviour of memristive networks and show how to realise computing devices from memristors. All aspects of memristor networks are presented in detail, in a fully accessible style. An indispensable source of information and an inspiring reference text, Memristor Networks is an invaluable resource for future generations of computer scientists, mathematicians, physicists and engineers.

Advances in Neural Networks: Computational and Theoretical Issues

Author : Simone Bassis
Publisher : Springer
ISBN 13 : 3319181645
Total Pages : 392 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Advances in Neural Networks: Computational and Theoretical Issues by : Simone Bassis

Download or read book Advances in Neural Networks: Computational and Theoretical Issues written by Simone Bassis and published by Springer. This book was released on 2015-06-05 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects research works that exploit neural networks and machine learning techniques from a multidisciplinary perspective. Subjects covered include theoretical, methodological and computational topics which are grouped together into chapters devoted to the discussion of novelties and innovations related to the field of Artificial Neural Networks as well as the use of neural networks for applications, pattern recognition, signal processing, and special topics such as the detection and recognition of multimodal emotional expressions and daily cognitive functions, and bio-inspired memristor-based networks. Providing insights into the latest research interest from a pool of international experts coming from different research fields, the volume becomes valuable to all those with any interest in a holistic approach to implement believable, autonomous, adaptive and context-aware Information Communication Technologies.

Advances in Neuromorphic Memristor Science and Applications

Author : Robert Kozma
Publisher : Springer
ISBN 13 : 9789400744929
Total Pages : 320 pages
Book Rating : 4.7/5 (449 download)

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Book Synopsis Advances in Neuromorphic Memristor Science and Applications by : Robert Kozma

Download or read book Advances in Neuromorphic Memristor Science and Applications written by Robert Kozma and published by Springer. This book was released on 2012-06-28 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Handbook of Memristor Networks

Author : Leon Chua
Publisher : Springer Nature
ISBN 13 : 331976375X
Total Pages : 1368 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Handbook of Memristor Networks by : Leon Chua

Download or read book Handbook of Memristor Networks written by Leon Chua and published by Springer Nature. This book was released on 2019-11-12 with total page 1368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Handbook presents all aspects of memristor networks in an easy to read and tutorial style. Including many colour illustrations, it covers the foundations of memristor theory and applications, the technology of memristive devices, revised models of the Hodgkin-Huxley Equations and ion channels, neuromorphic architectures, and analyses of the dynamic behaviour of memristive networks. It also shows how to realise computing devices, non-von Neumann architectures and provides future building blocks for deep learning hardware. With contributions from leaders in computer science, mathematics, electronics, physics, material science and engineering, the book offers an indispensable source of information and an inspiring reference text for future generations of computer scientists, mathematicians, physicists, material scientists and engineers working in this dynamic field.

Memristor and Memristive Neural Networks

Author : Alex Pappachen James
Publisher :
ISBN 13 : 9789535139485
Total Pages : 324 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Memristor and Memristive Neural Networks by : Alex Pappachen James

Download or read book Memristor and Memristive Neural Networks written by Alex Pappachen James and published by . This book was released on 2018 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances in Memristor and Memristor-Based Applications

Author : Jun Mou
Publisher : Frontiers Media SA
ISBN 13 : 283250194X
Total Pages : 143 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Advances in Memristor and Memristor-Based Applications by : Jun Mou

Download or read book Advances in Memristor and Memristor-Based Applications written by Jun Mou and published by Frontiers Media SA. This book was released on 2022-10-11 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Neural Networks – ISNN 2016

Author : Long Cheng
Publisher : Springer
ISBN 13 : 3319406639
Total Pages : 751 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Advances in Neural Networks – ISNN 2016 by : Long Cheng

Download or read book Advances in Neural Networks – ISNN 2016 written by Long Cheng and published by Springer. This book was released on 2016-07-01 with total page 751 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th International Symposium on Neural Networks, ISNN 2016, held in St. Petersburg, Russia in July 2016. The 84 revised full papers presented in this volume were carefully reviewed and selected from 104 submissions. The papers cover many topics of neural network-related research including signal and image processing; dynamical behaviors of recurrent neural networks; intelligent control; clustering, classification, modeling, and forecasting; evolutionary computation; and cognition computation and spiking neural networks.

Nonlinear Circuits and Systems with Memristors

Author : Fernando Corinto
Publisher : Springer Nature
ISBN 13 : 3030556514
Total Pages : 438 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Nonlinear Circuits and Systems with Memristors by : Fernando Corinto

Download or read book Nonlinear Circuits and Systems with Memristors written by Fernando Corinto and published by Springer Nature. This book was released on 2020-10-31 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a new approach to the study of physical nonlinear circuits and advanced computing architectures with memristor devices. Such a unified approach to memristor theory has never been systematically presented in book form. After giving an introduction on memristor-based nonlinear dynamical circuits (e.g., periodic/chaotic oscillators) and their use as basic computing analogue elements, the authors delve into the nonlinear dynamical properties of circuits and systems with memristors and present the flux-charge analysis, a novel method for analyzing the nonlinear dynamics starting from writing Kirchhoff laws and constitutive relations of memristor circuit elements in the flux-charge domain. This analysis method reveals new peculiar and intriguing nonlinear phenomena in memristor circuits, such as the coexistence of different nonlinear dynamical behaviors, extreme multistability and bifurcations without parameters. The book also describes how arrays of memristor-based nonlinear oscillators and locally-coupled neural networks can be applied in the field of analog computing architectures, for example for pattern recognition. The book will be of interest to scientists and engineers involved in the conceptual design of physical memristor devices and systems, mathematical and circuit models of physical processes, circuits and networks design, system engineering, or data processing and system analysis.

Efficient Processing of Deep Neural Networks

Author : Vivienne Sze
Publisher : Springer Nature
ISBN 13 : 3031017668
Total Pages : 254 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Efficient Processing of Deep Neural Networks by : Vivienne Sze

Download or read book Efficient Processing of Deep Neural Networks written by Vivienne Sze and published by Springer Nature. This book was released on 2022-05-31 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are currently widely used for many artificial intelligence (AI) applications, including computer vision, speech recognition, and robotics. While DNNs deliver state-of-the-art accuracy on many AI tasks, it comes at the cost of high computational complexity. Therefore, techniques that enable efficient processing of deep neural networks to improve key metrics—such as energy-efficiency, throughput, and latency—without sacrificing accuracy or increasing hardware costs are critical to enabling the wide deployment of DNNs in AI systems. The book includes background on DNN processing; a description and taxonomy of hardware architectural approaches for designing DNN accelerators; key metrics for evaluating and comparing different designs; features of DNN processing that are amenable to hardware/algorithm co-design to improve energy efficiency and throughput; and opportunities for applying new technologies. Readers will find a structured introduction to the field as well as formalization and organization of key concepts from contemporary work that provide insights that may spark new ideas.

Recent Advances of Neural Network Models and Applications

Author : Simone Bassis
Publisher : Springer
ISBN 13 : 9783319041285
Total Pages : 446 pages
Book Rating : 4.0/5 (412 download)

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Book Synopsis Recent Advances of Neural Network Models and Applications by : Simone Bassis

Download or read book Recent Advances of Neural Network Models and Applications written by Simone Bassis and published by Springer. This book was released on 2014-01-10 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume collects a selection of contributions which has been presented at the 23rd Italian Workshop on Neural Networks, the yearly meeting of the Italian Society for Neural Networks (SIREN). The conference was held in Vietri sul Mare, Salerno, Italy during May 23-24, 2013. The annual meeting of SIREN is sponsored by International Neural Network Society (INNS), European Neural Network Society (ENNS) and IEEE Computational Intelligence Society (CIS). The book – as well as the workshop- is organized in two main components, a special session and a group of regular sessions featuring different aspects and point of views of artificial neural networks, artificial and natural intelligence, as well as psychological and cognitive theories for modeling human behaviors and human machine interactions, including Information Communication applications of compelling interest.