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Author : Nabil G. Taleb
Publisher :
ISBN 13 :
Total Pages : 266 pages
Book Rating : 4.E/5 ( download)
Download or read book Adders and Multipliers Using Neural Gates written by Nabil G. Taleb and published by . This book was released on 1993 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Sandeep Saini
Publisher : CRC Press
ISBN 13 : 1000523845
Total Pages : 292 pages
Book Rating : 4.0/5 (5 download)
Download or read book VLSI and Hardware Implementations using Modern Machine Learning Methods written by Sandeep Saini and published by CRC Press. This book was released on 2021-12-31 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Yoshiyasu Takefuji
Publisher : Springer Science & Business Media
ISBN 13 : 1461535824
Total Pages : 132 pages
Book Rating : 4.4/5 (615 download)
Download or read book Analog VLSI Neural Networks written by Yoshiyasu Takefuji and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Peter William Mcowan
Publisher : World Scientific Publishing Company
ISBN 13 : 1786341867
Total Pages : 233 pages
Book Rating : 4.7/5 (863 download)
Download or read book Power Of Computational Thinking, The: Games, Magic And Puzzles To Help You Become A Computational Thinker written by Peter William Mcowan and published by World Scientific Publishing Company. This book was released on 2017-01-17 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Andrej Dobnikar
Publisher : Springer
ISBN 13 : 3642202829
Total Pages : 448 pages
Book Rating : 4.6/5 (422 download)
Download or read book Adaptive and Natural Computing Algorithms written by Andrej Dobnikar and published by Springer. This book was released on 2011-04-09 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 6593 and 6594 constitutes the refereed proceedings of the 10th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2010, held in Ljubljana, Slovenia, in April 2010. The 83 revised full papers presented were carefully reviewed and selected from a total of 144 submissions. The first volume includes 42 papers and a plenary lecture and is organized in topical sections on neural networks and evolutionary computation.
Author : Janmenjoy Nayak
Publisher : Springer Nature
ISBN 13 : 9811694478
Total Pages : 757 pages
Book Rating : 4.8/5 (116 download)
Download or read book Computational Intelligence in Data Mining written by Janmenjoy Nayak and published by Springer Nature. This book was released on 2022-05-06 with total page 757 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Boris Kryzhanovsky
Publisher : Springer
ISBN 13 : 3319666045
Total Pages : 208 pages
Book Rating : 4.3/5 (196 download)
Download or read book Advances in Neural Computation, Machine Learning, and Cognitive Research written by Boris Kryzhanovsky and published by Springer. This book was released on 2017-08-28 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Ulrich Ramacher
Publisher : Springer Science & Business Media
ISBN 13 : 1461539943
Total Pages : 346 pages
Book Rating : 4.4/5 (615 download)
Download or read book VLSI Design of Neural Networks written by Ulrich Ramacher and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : José Mira
Publisher : Springer Science & Business Media
ISBN 13 : 354040211X
Total Pages : 845 pages
Book Rating : 4.5/5 (44 download)
Download or read book Artificial Neural Nets. Problem Solving Methods written by José Mira and published by Springer Science & Business Media. This book was released on 2003-05-22 with total page 845 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Sherief Reda
Publisher : Springer
ISBN 13 : 3319993224
Total Pages : 495 pages
Book Rating : 4.3/5 (199 download)
Download or read book Approximate Circuits written by Sherief Reda and published by Springer. This book was released on 2018-12-05 with total page 495 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides readers with a comprehensive, state-of-the-art overview of approximate computing, enabling the design trade-off of accuracy for achieving better power/performance efficiencies, through the simplification of underlying computing resources. The authors describe in detail various efforts to generate approximate hardware systems, while still providing an overview of support techniques at other computing layers. The book is organized by techniques for various hardware components, from basic building blocks to general circuits and systems.
Author : Albert Y. Zomaya
Publisher : Springer Science & Business Media
ISBN 13 : 9780387405322
Total Pages : 758 pages
Book Rating : 4.4/5 (53 download)
Download or read book Handbook of Nature-Inspired and Innovative Computing written by Albert Y. Zomaya and published by Springer Science & Business Media. This book was released on 2006-01-10 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt: As computing devices proliferate, demand increases for an understanding of emerging computing paradigms and models based on natural phenomena. Neural networks, evolution-based models, quantum computing, and DNA-based computing and simulations are all a necessary part of modern computing analysis and systems development. Vast literature exists on these new paradigms and their implications for a wide array of applications. This comprehensive handbook, the first of its kind to address the connection between nature-inspired and traditional computational paradigms, is a repository of case studies dealing with different problems in computing and solutions to these problems based on nature-inspired paradigms. The "Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologies" is an essential compilation of models, methods, and algorithms for researchers, professionals, and advanced-level students working in all areas of computer science, IT, biocomputing, and network engineering.
Author : Weiqiang Liu
Publisher : Springer Nature
ISBN 13 : 3031424786
Total Pages : 745 pages
Book Rating : 4.0/5 (314 download)
Download or read book Design and Applications of Emerging Computer Systems written by Weiqiang Liu and published by Springer Nature. This book was released on with total page 745 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 584 pages
Book Rating : 4.3/5 (91 download)
Download or read book Proceedings written by and published by . This book was released on 1997 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Alianna J. Maren
Publisher : Academic Press
ISBN 13 : 148326484X
Total Pages : 472 pages
Book Rating : 4.4/5 (832 download)
Download or read book Handbook of Neural Computing Applications written by Alianna J. Maren and published by Academic Press. This book was released on 2014-05-10 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Neural Computing Applications is a collection of articles that deals with neural networks. Some papers review the biology of neural networks, their type and function (structure, dynamics, and learning) and compare a back-propagating perceptron with a Boltzmann machine, or a Hopfield network with a Brain-State-in-a-Box network. Other papers deal with specific neural network types, and also on selecting, configuring, and implementing neural networks. Other papers address specific applications including neurocontrol for the benefit of control engineers and for neural networks researchers. Other applications involve signal processing, spatio-temporal pattern recognition, medical diagnoses, fault diagnoses, robotics, business, data communications, data compression, and adaptive man-machine systems. One paper describes data compression and dimensionality reduction methods that have characteristics, such as high compression ratios to facilitate data storage, strong discrimination of novel data from baseline, rapid operation for software and hardware, as well as the ability to recognized loss of data during compression or reconstruction. The collection can prove helpful for programmers, computer engineers, computer technicians, and computer instructors dealing with many aspects of computers related to programming, hardware interface, networking, engineering or design.
Author : H.-W. Bothe
Publisher : Elsevier
ISBN 13 : 1483291561
Total Pages : 396 pages
Book Rating : 4.4/5 (832 download)
Download or read book Neurobionics written by H.-W. Bothe and published by Elsevier. This book was released on 2013-10-22 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of neurobionics is to elaborate methods for the repairment and substitution of impaired functions of the human nervous system. This publication contains contributions from internationally recognized scientists exploring the structure of this novel interdisciplinary research field. The structure consists of theoretical sciences (philosophy, mathematics, neuroinformatics, computational neuroscience), basic biological sciences (molecular biology, cell biology, biological network neuroscience, neurophysiology), technical engineering (microelectronics, micromechanics, robotics, microsystems), and clinical neurosciences (neurodiagnostics, neurology, neurosurgery, neurorehabilitation). It is hoped the book indicates that a new kind of partnership across these various disciplines is mandatory if emerging problems in the field are to be solved. It also aims to set the coordinates for an international and interdisciplinary research field dealing with a subject intrinsic to man's mind and its biological carrier which may be partially replaced by artificial means in the future.
Author : Ivan Lanese
Publisher : Springer Nature
ISBN 13 : 3030524825
Total Pages : 287 pages
Book Rating : 4.0/5 (35 download)
Download or read book Reversible Computation written by Ivan Lanese and published by Springer Nature. This book was released on 2020-07-08 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th International Conference on Reversible Computation, RC 2020, held in Oslo, Norway, in July 2020. The 17 full papers included in this volume were carefully reviewed and selected from 22 submissions. The papers are organized in the following topical sections: theory and foundation; programming languages; circuit synthesis; evaluation of circuit synthesis; and applications and implementations.
Author :
Publisher : Academic Press
ISBN 13 : 0128231246
Total Pages : 416 pages
Book Rating : 4.1/5 (282 download)
Download or read book Hardware Accelerator Systems for Artificial Intelligence and Machine Learning written by and published by Academic Press. This book was released on 2021-03-28 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Volume 122 delves into arti?cial Intelligence and the growth it has seen with the advent of Deep Neural Networks (DNNs) and Machine Learning. Updates in this release include chapters on Hardware accelerator systems for artificial intelligence and machine learning, Introduction to Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Deep Learning with GPUs, Edge Computing Optimization of Deep Learning Models for Specialized Tensor Processing Architectures, Architecture of NPU for DNN, Hardware Architecture for Convolutional Neural Network for Image Processing, FPGA based Neural Network Accelerators, and much more. - Updates on new information on the architecture of GPU, NPU and DNN - Discusses In-memory computing, Machine intelligence and Quantum computing - Includes sections on Hardware Accelerator Systems to improve processing efficiency and performance
