Digital Neural Networks

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Author :
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 472 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Digital Neural Networks by : Sun Yuan Kung

Download or read book Digital Neural Networks written by Sun Yuan Kung and published by Prentice Hall. This book was released on 1993 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intended for engineers and researchers interested in the applications of neural networks to signal and image processing, this book is theoretically based with emphasis on application and implementation. Coverage includes neural networks for representation, unsupervised networks for association/classification, neural networks for generalization/restoration, neural net and conventional optimization techniques, and special purpose supercomputers for neural nets.

Olfaction

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Publisher : MIT Press
ISBN 13 : 9780262041249
Total Pages : 348 pages
Book Rating : 4.0/5 (412 download)

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Book Synopsis Olfaction by : Joel L. Davis

Download or read book Olfaction written by Joel L. Davis and published by MIT Press. This book was released on 1991 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational neuroscientists have recently turned to modeling olfactory structures because these are likely to have the same functional properties as currently popular network designs for perception and memory. This book provides a useful survey of current work on olfactory system circuitry, including connections of this system to brain structures involved in cognition and memory, and describes the computational models of olfactory processing that have been developed to date. Contributions cover empirical investigations of the neurobiology of the olfactory systems (anatomy, physiology, synaptic plasticity, behavioral physiology) as well as the application of computer models to understanding these systems. Fundamental issues in olfactory processing by the nervous systems such as experimental strategies in the study of olfaction, stages of odor processing, and critical questions in sensory coding are considered across empirical/applied boundaries and throughout the contributions. ContributorsI. Fundamental Anatomy, Physiology, and Plasticity of the Olfactory System, Gordon M. Shepherd. John S. Kauer, S. R. Neff, Kathryn A. Hamilton, and Angel R. Cinelli. Kevin L. Ketchum, Lewis B. Haberly. Joseph L. Price, S. Thomas Carmichael, Ken M. Carnes, Marie Christine Clugnet, Masaru Kuroda, and James P. Ray. Michael Leon, Donald A. Wilson, and Kathleen M. Guthrie. Gary Lynch and Richard Granger. Howard Eichenbaum, Tim Otto, Cynthia Wible, and Jean Piper. - II. Developments in Computational Models of the Olfactory System, DeLiang Wang, Joachim Buhmann, and Christoph von der Marlsburg. Walter Freeman. Richard Granger, Ursula Staubi, José Ambrose-Ingersoll, and Gary Lynch. James M. Bower. Dan Hammerstrom and Eric Means.

Multivariate Statistical Machine Learning Methods for Genomic Prediction

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Author :
Publisher : Springer Nature
ISBN 13 : 3030890104
Total Pages : 707 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Multivariate Statistical Machine Learning Methods for Genomic Prediction by : Osval Antonio Montesinos López

Download or read book Multivariate Statistical Machine Learning Methods for Genomic Prediction written by Osval Antonio Montesinos López and published by Springer Nature. This book was released on 2022-02-14 with total page 707 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is open access under a CC BY 4.0 license This open access book brings together the latest genome base prediction models currently being used by statisticians, breeders and data scientists. It provides an accessible way to understand the theory behind each statistical learning tool, the required pre-processing, the basics of model building, how to train statistical learning methods, the basic R scripts needed to implement each statistical learning tool, and the output of each tool. To do so, for each tool the book provides background theory, some elements of the R statistical software for its implementation, the conceptual underpinnings, and at least two illustrative examples with data from real-world genomic selection experiments. Lastly, worked-out examples help readers check their own comprehension.The book will greatly appeal to readers in plant (and animal) breeding, geneticists and statisticians, as it provides in a very accessible way the necessary theory, the appropriate R code, and illustrative examples for a complete understanding of each statistical learning tool. In addition, it weighs the advantages and disadvantages of each tool.

Applications and Science of Artificial Neural Networks

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Publisher :
ISBN 13 :
Total Pages : 604 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Applications and Science of Artificial Neural Networks by :

Download or read book Applications and Science of Artificial Neural Networks written by and published by . This book was released on 1995 with total page 604 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volumes consist of the proceedings of the International Conference on Applications and Science of Artificial Neural Networks.

Artificial Neural Nets and Genetic Algorithms

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Publisher : Springer Science & Business Media
ISBN 13 : 3709175356
Total Pages : 542 pages
Book Rating : 4.7/5 (91 download)

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Book Synopsis Artificial Neural Nets and Genetic Algorithms by : David W. Pearson

Download or read book Artificial Neural Nets and Genetic Algorithms written by David W. Pearson and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial neural networks and genetic algorithms both are areas of research which have their origins in mathematical models constructed in order to gain understanding of important natural processes. By focussing on the process models rather than the processes themselves, significant new computational techniques have evolved which have found application in a large number of diverse fields. This diversity is reflected in the topics which are subjects of the contributions to this volume. There are contributions reporting successful applications of the technology to the solution of industrial/commercial problems. This may well reflect the maturity of the technology, notably in the sense that 'real' users of modelling/prediction techniques are prepared to accept neural networks as a valid paradigm. Theoretical issues also receive attention, notably in connection with the radial basis function neural network. Contributions in the field of genetic algorithms reflect the wide range of current applications, including, for example, portfolio selection, filter design, frequency assignment, tuning of nonlinear PID controllers. These techniques are also used extensively for combinatorial optimisation problems.

Efficient Processing of Deep Neural Networks

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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.

Rethinking Neural Networks

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Author :
Publisher : Psychology Press
ISBN 13 : 1317780949
Total Pages : 566 pages
Book Rating : 4.3/5 (177 download)

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Book Synopsis Rethinking Neural Networks by : Karl H. Pribram

Download or read book Rethinking Neural Networks written by Karl H. Pribram and published by Psychology Press. This book was released on 2014-04-08 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: The result of the first Appalachian Conference on neurodynamics, this volume focuses on processing in biological neural networks. How do brain processes become organized during decision making? That is, what are the neural antecedents that determine which course of action is to be pursued? Half of the contributions deal with modelling synapto-dendritic and neural ultrastructural processes; the remainder, with laboratory research findings, often cast in terms of the models. The interchanges at the conference and the ensuing publication also provide a foundation for further meetings. These will address how processes in different brain systems, coactive with the neural residues of experience and with sensory input, determine decisions.

Advances in Neural Networks: Computational and Theoretical Issues

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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.

Neural Network Design

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Publisher :
ISBN 13 : 9789812403766
Total Pages : pages
Book Rating : 4.4/5 (37 download)

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Book Synopsis Neural Network Design by : Martin T. Hagan

Download or read book Neural Network Design written by Martin T. Hagan and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Handbook of Neural Computing Applications

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Publisher : Academic Press
ISBN 13 : 148326484X
Total Pages : 472 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Handbook of Neural Computing Applications by : Alianna J. Maren

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.

Enterprise Information Systems and Implementing IT Infrastructures: Challenges and Issues

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Author :
Publisher : IGI Global
ISBN 13 : 1615206264
Total Pages : 503 pages
Book Rating : 4.6/5 (152 download)

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Book Synopsis Enterprise Information Systems and Implementing IT Infrastructures: Challenges and Issues by : Parthasarathy, S.

Download or read book Enterprise Information Systems and Implementing IT Infrastructures: Challenges and Issues written by Parthasarathy, S. and published by IGI Global. This book was released on 2010-03-31 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book aims at identifying potential research problems and issues in the EIS such as Enterprise Resource Planning (ERP), Supply Chain Management (SCM), and Customer Relationship Management (CRM)"--Provided by publisher.

FPGA Implementations of Neural Networks

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Publisher : Springer Science & Business Media
ISBN 13 : 0387284877
Total Pages : 365 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis FPGA Implementations of Neural Networks by : Amos R. Omondi

Download or read book FPGA Implementations of Neural Networks written by Amos R. Omondi and published by Springer Science & Business Media. This book was released on 2006-10-04 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the 1980s and early 1990s there was signi?cant work in the design and implementation of hardware neurocomputers. Nevertheless, most of these efforts may be judged to have been unsuccessful: at no time have have ha- ware neurocomputers been in wide use. This lack of success may be largely attributed to the fact that earlier work was almost entirely aimed at developing custom neurocomputers, based on ASIC technology, but for such niche - eas this technology was never suf?ciently developed or competitive enough to justify large-scale adoption. On the other hand, gate-arrays of the period m- tioned were never large enough nor fast enough for serious arti?cial-neur- network (ANN) applications. But technology has now improved: the capacity and performance of current FPGAs are such that they present a much more realistic alternative. Consequently neurocomputers based on FPGAs are now a much more practical proposition than they have been in the past. This book summarizes some work towards this goal and consists of 12 papers that were selected, after review, from a number of submissions. The book is nominally divided into three parts: Chapters 1 through 4 deal with foundational issues; Chapters 5 through 11 deal with a variety of implementations; and Chapter 12 looks at the lessons learned from a large-scale project and also reconsiders design issues in light of current and future technology.

Proceedings of the 6th International Conference on Electrical, Control and Computer Engineering

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Publisher : Springer Nature
ISBN 13 : 9811686904
Total Pages : 1148 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Proceedings of the 6th International Conference on Electrical, Control and Computer Engineering by : Zainah Md. Zain

Download or read book Proceedings of the 6th International Conference on Electrical, Control and Computer Engineering written by Zainah Md. Zain and published by Springer Nature. This book was released on 2022-03-08 with total page 1148 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 6th International Conference on Electrical, Control and Computer Engineering (InECCE 2021), held in Kuantan, Pahang, Malaysia, on 23 August 2021. The topics covered are sustainable energy, power electronics and drives and power engineering including distributed/renewable generation, power system optimization, artificial/computational intelligence, smart grid, power system protection and machine learning energy management and conservation. The book showcases some of the latest technologies and applications developed to solve local energy and power problems in order to ensure continuity, reliability and security of electricity for future generations. It also links topics covered the sustainable developed goals (SDGs) areas outlined by the United Nation for global sustainability. The book will appeal to professionals, scientists and researchers with experience in industry.

Artificial Neural Networks - ICANN 2010

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Publisher : Springer Science & Business Media
ISBN 13 : 3642158218
Total Pages : 558 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Artificial Neural Networks - ICANN 2010 by : Konstantinos Diamantaras

Download or read book Artificial Neural Networks - ICANN 2010 written by Konstantinos Diamantaras and published by Springer Science & Business Media. This book was released on 2010-09-03 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three volume set LNCS 6352, LNCS 6353, and LNCS 6354 constitutes the refereed proceedings of the 20th International Conference on Artificial Neural Networks, ICANN 2010, held in Thessaloniki, Greece, in September 2010. The 102 revised full papers, 68 short papers and 29 posters presented were carefully reviewed and selected from 241 submissions. The second volume is divided in topical sections on Kernel algorithms – support vector machines, knowledge engineering and decision making, recurrent ANN, reinforcement learning, robotics, self organizing ANN, adaptive algorithms – systems, and optimization.

Proceedings of the 2009 International Conference on Signals, Systems and Automation (ICSSA 2009)

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Author :
Publisher : Universal-Publishers
ISBN 13 : 1599428695
Total Pages : 362 pages
Book Rating : 4.5/5 (994 download)

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Book Synopsis Proceedings of the 2009 International Conference on Signals, Systems and Automation (ICSSA 2009) by : Himanshu Soni

Download or read book Proceedings of the 2009 International Conference on Signals, Systems and Automation (ICSSA 2009) written by Himanshu Soni and published by Universal-Publishers. This book was released on 2010-04-30 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of papers from the 2009 International Conference on Signals, Systems and Automation (ICSSA 2009). The conference at a glance: - Pre-conference Workshops/Tutorials on 27th Dec, 2009 - Five Plenary talks - Paper/Poster Presentation: 28-29 Dec, 2009 - Demonstrations by SKYVIEWInc, SLS Inc., BSNL, Baroda Electric Meters, SIS - On line paper submission facility on website - 200+ papers are received from India and abroad - Delegates from different countries including Poland, Iran, USA - Delegates from 16 states of India - Conference website is seen by more than 3000 persons across the world (27 countries and 120 cities)

Scientific and Technical Aerospace Reports

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Publisher :
ISBN 13 :
Total Pages : 702 pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis Scientific and Technical Aerospace Reports by :

Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1995 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Neural Networks, 2

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Author :
Publisher : Elsevier
ISBN 13 : 148329806X
Total Pages : 879 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Artificial Neural Networks, 2 by : I. Aleksander

Download or read book Artificial Neural Networks, 2 written by I. Aleksander and published by Elsevier. This book was released on 2014-06-28 with total page 879 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume proceedings compilation is a selection of research papers presented at the ICANN-92. The scope of the volumes is interdisciplinary, ranging from the minutiae of VLSI hardware, to new discoveries in neurobiology, through to the workings of the human mind. USA and European research is well represented, including not only new thoughts from old masters but also a large number of first-time authors who are ensuring the continued development of the field.