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Adders And Multipliers Using Neural Gates


Adders And Multipliers Using Neural Gates
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Adders And Multipliers Using Neural Gates


Adders And Multipliers Using Neural Gates
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Author : Nabil G. Taleb
language : en
Publisher:
Release Date : 1993

Adders And Multipliers Using Neural Gates written by Nabil G. Taleb and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Computer arithmetic and logic units categories.




Vlsi And Hardware Implementations Using Modern Machine Learning Methods


Vlsi And Hardware Implementations Using Modern Machine Learning Methods
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Author : Sandeep Saini
language : en
Publisher: CRC Press
Release Date : 2021-12-31

Vlsi And Hardware Implementations Using Modern Machine Learning Methods written by Sandeep Saini and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-31 with Technology & Engineering categories.


Machine learning is a potential solution to resolve bottleneck issues in VLSI via optimizing tasks in the design process. This book aims to provide the latest machine-learning–based methods, algorithms, architectures, and frameworks designed for VLSI design. The focus is on digital, analog, and mixed-signal design techniques, device modeling, physical design, hardware implementation, testability, reconfigurable design, synthesis and verification, and related areas. Chapters include case studies as well as novel research ideas in the given field. Overall, the book provides practical implementations of VLSI design, IC design, and hardware realization using machine learning techniques. Features: Provides the details of state-of-the-art machine learning methods used in VLSI design Discusses hardware implementation and device modeling pertaining to machine learning algorithms Explores machine learning for various VLSI architectures and reconfigurable computing Illustrates the latest techniques for device size and feature optimization Highlights the latest case studies and reviews of the methods used for hardware implementation This book is aimed at researchers, professionals, and graduate students in VLSI, machine learning, electrical and electronic engineering, computer engineering, and hardware systems.



Analog Vlsi Neural Networks


Analog Vlsi Neural Networks
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Author : Yoshiyasu Takefuji
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Analog Vlsi Neural Networks written by Yoshiyasu Takefuji 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 2012-12-06 with Technology & Engineering categories.


This book brings together in one place important contributions and state-of-the-art research in the rapidly advancing area of analog VLSI neural networks. The book serves as an excellent reference, providing insights into some of the most important issues in analog VLSI neural networks research efforts.



Computational Intelligence In Data Mining


Computational Intelligence In Data Mining
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Author : Janmenjoy Nayak
language : en
Publisher: Springer Nature
Release Date : 2022-05-06

Computational Intelligence In Data Mining written by Janmenjoy Nayak and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-06 with Technology & Engineering categories.


This book addresses different methods and techniques of integration for enhancing the overall goal of data mining. The book is a collection of high-quality peer-reviewed research papers presented in the Sixth International Conference on Computational Intelligence in Data Mining (ICCIDM 2021) held at Aditya Institute of Technology and Management, Tekkali, Andhra Pradesh, India, during December 11–12, 2021. The book addresses the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. The book helps to disseminate the knowledge about some innovative, active research directions in the field of data mining, machine and computational intelligence, along with some current issues and applications of related topics.



Vlsi Design Of Neural Networks


Vlsi Design Of Neural Networks
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Author : Ulrich Ramacher
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Vlsi Design Of Neural Networks written by Ulrich Ramacher 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 2012-12-06 with Technology & Engineering categories.


The early era of neural network hardware design (starting at 1985) was mainly technology driven. Designers used almost exclusively analog signal processing concepts for the recall mode. Learning was deemed not to cause a problem because the number of implementable synapses was still so low that the determination of weights and thresholds could be left to conventional computers. Instead, designers tried to directly map neural parallelity into hardware. The architectural concepts were accordingly simple and produced the so called interconnection problem which, in turn, made many engineers believe it could be solved by optical implementation in adequate fashion only. Furthermore, the inherent fault-tolerance and limited computation accuracy of neural networks were claimed to justify that little effort is to be spend on careful design, but most effort be put on technology issues. As a result, it was almost impossible to predict whether an electronic neural network would function in the way it was simulated to do. This limited the use of the first neuro-chips for further experimentation, not to mention that real-world applications called for much more synapses than could be implemented on a single chip at that time. Meanwhile matters have matured. It is recognized that isolated definition of the effort of analog multiplication, for instance, would be just as inappropriate on the part ofthe chip designer as determination of the weights by simulation, without allowing for the computing accuracy that can be achieved, on the part of the user.



Advances In Neural Computation Machine Learning And Cognitive Research


Advances In Neural Computation Machine Learning And Cognitive Research
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Author : Boris Kryzhanovsky
language : en
Publisher: Springer
Release Date : 2017-08-28

Advances In Neural Computation Machine Learning And Cognitive Research written by Boris Kryzhanovsky and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-28 with Technology & Engineering categories.


This book describes new theories and applications of artificial neural networks, with a special focus on neural computation, cognitive science and machine learning. It discusses cutting-edge research at the intersection between different fields, from topics such as cognition and behavior, motivation and emotions, to neurocomputing, deep learning, classification and clustering. Further topics include signal processing methods, robotics and neurobionics, and computer vision alike. The book includes selected papers from the XIX International Conference on Neuroinformatics, held on October 2-6, 2017, in Moscow, Russia.



Power Of Computational Thinking The Games Magic And Puzzles To Help You Become A Computational Thinker


Power Of Computational Thinking The Games Magic And Puzzles To Help You Become A Computational Thinker
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Author : Peter William Mcowan
language : en
Publisher: World Scientific Publishing Company
Release Date : 2017-01-17

Power Of Computational Thinking The Games Magic And Puzzles To Help You Become A Computational Thinker written by Peter William Mcowan and has been published by World Scientific Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-17 with Young Adult Nonfiction categories.


From the team behind Computer Science for Fun (cs4fn), The Power of Computational Thinking shows that learning to think can be fascinating fun.Yes, and this book shows you how.Computational thinking has changed the way we all live, work and play. It has changed the way science is done too; won wars, created whole new industries and saved lives. It is at the heart of computer programming and is a powerful approach to problem solving, with or without computers. It is so important that many countries now require that primary school children learn the skills.Professors Paul Curzon and Peter McOwan of Queen Mary University of London have written a unique and enjoyable introduction. They describe the elements of computational thinking — such as algorithmic thinking, decomposition, abstraction and pattern matching — in an entertaining and accessible way, using magic tricks, games and puzzles, as well as through real and challenging problems that computer scientists work on.This book gives you a head start in learning the skills needed for coding, and will improve your real life problem solving skills. It will help you design and evaluate new technologies, as well as understand both your own brain and the digital world in a deeper way.



Silicon Implementation Of Pulse Coded Neural Networks


Silicon Implementation Of Pulse Coded Neural Networks
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Author : Mona E. Zaghloul
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Silicon Implementation Of Pulse Coded Neural Networks written by Mona E. Zaghloul 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 2012-12-06 with Technology & Engineering categories.


When confronted with the hows and whys of nature's computational engines, some prefer to focus upon neural function: addressing issues of neural system behavior and its relation to natural intelligence. Then there are those who prefer the study of the "mechanics" of neural systems: the nuts and bolts of the "wetware": the neurons and synapses. Those who investigate pulse coded implementations ofartificial neural networks know what it means to stand at the boundary which lies between these two worlds: not just asking why natural neural systems behave as they do, but also how they achieve their marvelous feats. The research results presented in this book not only address more conventional abstract notions of neural-like processing, but also the more specific details ofneural-like processors. It has been established for some time that natural neural systems perform a great deal of information processing via electrochemical pulses. Accordingly, pulse coded neural network concepts are receiving increased attention in artificial neural network research. This increased interest is compounded by continuing advances in the field of VLSI circuit design. This is the first time in history in which it is practical to construct networks of neuron-like circuits of reasonable complexity that can be applied to real problems. We believe that the pioneering work in artificial neural systems presented in this book will lead to further advances that will not only be useful in some practical sense, but may also provide some additional insight into the operation of their natural counterparts.



Artificial Neural Nets Problem Solving Methods


Artificial Neural Nets Problem Solving Methods
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Author : José Mira
language : en
Publisher: Springer Science & Business Media
Release Date : 2003-05-22

Artificial Neural Nets Problem Solving Methods written by José Mira 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 2003-05-22 with Computers categories.


The two-volume set LNCS 2686 and LNCS 2687 constitute the refereed proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003, held in Maó, Menorca, Spain in June 2003. The 197 revised papers presented were carefully reviewed and selected for inclusion in the book and address the following topics: mathematical and computational methods in neural modelling, neurophysiological data analysis and modelling, structural and functional models of neurons, learning and other plasticity phenomena, complex systems dynamics, cognitive processes and artificial intelligence, methodologies for net design, bio-inspired systems and engineering, and applications in a broad variety of fields.



Neural Computation Neural Devices And Neural Prosthesis


Neural Computation Neural Devices And Neural Prosthesis
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Author : Zhi Yang
language : en
Publisher: Springer Science & Business Media
Release Date : 2014-04-15

Neural Computation Neural Devices And Neural Prosthesis written by Zhi Yang 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 2014-04-15 with Medical categories.


In the past decades, interdisciplinary investigations overlapping biology, medicine, information science, and engineering have formed a very exciting and active field that attracts scientists, medical doctors, and engineers with knowledge in different domains. A few examples of such investigations include neural prosthetic implants that aim to improve the quality of life for patients suffering from neurologic disease and injury; brain machine interfaces that sense, analyze, and translate electrical signals from the brain to build closed-loop, biofeedback systems; and fundamental studies of intelligence, cognitive functions, and psychological behaviors correlated to their neurological basis. Although this interdisciplinary area is still in its infancy, it can potentially create some of the most significant impact: treating diseases that are considered untreatable, interpretation and communication of neuron ensembles, or even a revolutionary perception and understanding of life different from philosophical or immaterial approaches. Fortunately, several academic societies recognize the value and impact of this growing field, firmly supporting related research. Such support will drive a booming future in the next twenty or thirty years. Research in this area is frequently project-driven, and the generated knowledge has been scattered in different fields of neuroscience, computation, material and technology, circuits and system, clinical reports, and psychology—the scope considerably across the boundary of traditionally defined disciplines. Neural Computation, Neural Devices, and Neural Prosthesis is intended to assemble such knowledge, from there suggesting a systematic approach guiding future educational and research activities. The targeted audience includes both students and researchers.