Handbook Of Neural Computing Applications

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Handbook of Neural Computing Applications

Alianna J. Maren,Craig T. Harston,Robert M. Pap
Handbook of Neural Computing Applications Book PDF

Author : Alianna J. Maren,Craig T. Harston,Robert M. Pap
Publisher : Academic Press
Page : 470 pages
File Size : 46,5 Mb
Release : 2014-05-10
Category : Computers
ISBN : 9781483264844

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Handbook of Neural Computing Applications by Alianna J. Maren,Craig T. Harston,Robert M. Pap Pdf

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.

Handbook of Neural Computation

Pijush Samui,Sanjiban Sekhar Roy,Valentina E. Balas
Handbook of Neural Computation Book PDF

Author : Pijush Samui,Sanjiban Sekhar Roy,Valentina E. Balas
Publisher : Academic Press
Page : 658 pages
File Size : 45,5 Mb
Release : 2017-07-18
Category : Technology & Engineering
ISBN : 9780128113196

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Handbook of Neural Computation by Pijush Samui,Sanjiban Sekhar Roy,Valentina E. Balas Pdf

Handbook of Neural Computation explores neural computation applications, ranging from conventional fields of mechanical and civil engineering, to electronics, electrical engineering and computer science. This book covers the numerous applications of artificial and deep neural networks and their uses in learning machines, including image and speech recognition, natural language processing and risk analysis. Edited by renowned authorities in this field, this work is comprised of articles from reputable industry and academic scholars and experts from around the world. Each contributor presents a specific research issue with its recent and future trends. As the demand rises in the engineering and medical industries for neural networks and other machine learning methods to solve different types of operations, such as data prediction, classification of images, analysis of big data, and intelligent decision-making, this book provides readers with the latest, cutting-edge research in one comprehensive text. Features high-quality research articles on multivariate adaptive regression splines, the minimax probability machine, and more Discusses machine learning techniques, including classification, clustering, regression, web mining, information retrieval and natural language processing Covers supervised, unsupervised, reinforced, ensemble, and nature-inspired learning methods

Guide to Neural Computing Applications

Lionel Tarassenko
Guide to Neural Computing Applications Book PDF

Author : Lionel Tarassenko
Publisher : Elsevier
Page : 160 pages
File Size : 48,7 Mb
Release : 1998-01-30
Category : Computers
ISBN : 9780080512600

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Guide to Neural Computing Applications by Lionel Tarassenko Pdf

Neural networks have shown enormous potential for commercial exploitation over the last few years but it is easy to overestimate their capabilities. A few simple algorithms will learn relationships between cause and effect or organise large volumes of data into orderly and informative patterns but they cannot solve every problem and consequently their application must be chosen carefully and appropriately. This book outlines how best to make use of neural networks. It enables newcomers to the technology to construct robust and meaningful non-linear models and classifiers and benefits the more experienced practitioner who, through over familiarity, might otherwise be inclined to jump to unwarranted conclusions. The book is an invaluable resource not only for those in industry who are interested in neural computing solutions, but also for final year undergraduates or graduate students who are working on neural computing projects. It provides advice which will help make the best use of the growing number of commercial and public domain neural network software products, freeing the specialist from dependence upon external consultants.

Handbook of Neural Network Signal Processing

Yu Hen Hu,Jenq-Neng Hwang
Handbook of Neural Network Signal Processing Book PDF

Author : Yu Hen Hu,Jenq-Neng Hwang
Publisher : CRC Press
Page : 408 pages
File Size : 52,6 Mb
Release : 2018-10-03
Category : Technology & Engineering
ISBN : 9781420038613

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Handbook of Neural Network Signal Processing by Yu Hen Hu,Jenq-Neng Hwang Pdf

The use of neural networks is permeating every area of signal processing. They can provide powerful means for solving many problems, especially in nonlinear, real-time, adaptive, and blind signal processing. The Handbook of Neural Network Signal Processing brings together applications that were previously scattered among various publications to provide an up-to-date, detailed treatment of the subject from an engineering point of view. The authors cover basic principles, modeling, algorithms, architectures, implementation procedures, and well-designed simulation examples of audio, video, speech, communication, geophysical, sonar, radar, medical, and many other signals. The subject of neural networks and their application to signal processing is constantly improving. You need a handy reference that will inform you of current applications in this new area. The Handbook of Neural Network Signal Processing provides this much needed service for all engineers and scientists in the field.

The Handbook of Brain Theory and Neural Networks

Michael A. Arbib
The Handbook of Brain Theory and Neural Networks Book PDF

Author : Michael A. Arbib
Publisher : MIT Press
Page : 1328 pages
File Size : 49,6 Mb
Release : 2003
Category : Neural circuitry
ISBN : 9780262011976

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The Handbook of Brain Theory and Neural Networks by Michael A. Arbib Pdf

This second edition presents the enormous progress made in recent years in the many subfields related to the two great questions : how does the brain work? and, How can we build intelligent machines? This second edition greatly increases the coverage of models of fundamental neurobiology, cognitive neuroscience, and neural network approaches to language. (Midwest).

Handbook of Neural Computation

E Fiesler,R Beale
Handbook of Neural Computation Book PDF

Author : E Fiesler,R Beale
Publisher : CRC Press
Page : 436 pages
File Size : 43,5 Mb
Release : 1996-01-01
Category : Mathematics
ISBN : 0750303123

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Handbook of Neural Computation by E Fiesler,R Beale Pdf

The Handbook of Neural Computation is a practical, hands-on guide to the design and implementation of neural networks used by scientists and engineers to tackle difficult and/or time-consuming problems. The handbook bridges an information pathway between scientists and engineers in different disciplines who apply neural networks to similar problems. It is unmatched in the breadth of its coverage and is certain to become the standard reference resource for the neural network community.

Cognitive Computing: Theory and Applications

Vijay V Raghavan,Venkat N. Gudivada,Venu Govindaraju,C.R. Rao
Cognitive Computing Theory and Applications Book PDF

Author : Vijay V Raghavan,Venkat N. Gudivada,Venu Govindaraju,C.R. Rao
Publisher : Elsevier
Page : 404 pages
File Size : 54,5 Mb
Release : 2016-09-10
Category : Mathematics
ISBN : 9780444637512

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Cognitive Computing: Theory and Applications by Vijay V Raghavan,Venkat N. Gudivada,Venu Govindaraju,C.R. Rao Pdf

Cognitive Computing: Theory and Applications, written by internationally renowned experts, focuses on cognitive computing and its theory and applications, including the use of cognitive computing to manage renewable energy, the environment, and other scarce resources, machine learning models and algorithms, biometrics, Kernel Based Models for transductive learning, neural networks, graph analytics in cyber security, neural networks, data driven speech recognition, and analytical platforms to study the brain-computer interface. Comprehensively presents the various aspects of statistical methodology Discusses a wide variety of diverse applications and recent developments Contributors are internationally renowned experts in their respective areas

Handbook of Deep Learning Applications

Valentina Emilia Balas,Sanjiban Sekhar Roy,Dharmendra Sharma,Pijush Samui
Handbook of Deep Learning Applications Book PDF

Author : Valentina Emilia Balas,Sanjiban Sekhar Roy,Dharmendra Sharma,Pijush Samui
Publisher : Springer
Page : 383 pages
File Size : 52,6 Mb
Release : 2019-02-25
Category : Technology & Engineering
ISBN : 9783030114794

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Handbook of Deep Learning Applications by Valentina Emilia Balas,Sanjiban Sekhar Roy,Dharmendra Sharma,Pijush Samui Pdf

This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, big data processing, hierarchical deep learning networks as game-playing artefacts using regret matching, and building GPU-accelerated deep learning frameworks. Deep learning, an advanced level of machine learning technique that combines class of learning algorithms with the use of many layers of nonlinear units, has gained considerable attention in recent times. Unlike other books on the market, this volume addresses the challenges of deep learning implementation, computation time, and the complexity of reasoning and modeling different type of data. As such, it is a valuable and comprehensive resource for engineers, researchers, graduate students and Ph.D. scholars.

Handbook of Geometric Computing

Eduardo Bayro Corrochano
Handbook of Geometric Computing Book PDF

Author : Eduardo Bayro Corrochano
Publisher : Springer Science & Business Media
Page : 773 pages
File Size : 46,5 Mb
Release : 2005-12-06
Category : Computers
ISBN : 9783540282471

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Handbook of Geometric Computing by Eduardo Bayro Corrochano Pdf

Many computer scientists, engineers, applied mathematicians, and physicists use geometry theory and geometric computing methods in the design of perception-action systems, intelligent autonomous systems, and man-machine interfaces. This handbook brings together the most recent advances in the application of geometric computing for building such systems, with contributions from leading experts in the important fields of neuroscience, neural networks, image processing, pattern recognition, computer vision, uncertainty in geometric computations, conformal computational geometry, computer graphics and visualization, medical imagery, geometry and robotics, and reaching and motion planning. For the first time, the various methods are presented in a comprehensive, unified manner. This handbook is highly recommended for postgraduate students and researchers working on applications such as automated learning; geometric and fuzzy reasoning; human-like artificial vision; tele-operation; space maneuvering; haptics; rescue robots; man-machine interfaces; tele-immersion; computer- and robotics-aided neurosurgery or orthopedics; the assembly and design of humanoids; and systems for metalevel reasoning.

Applications of Artificial Neural Networks for Nonlinear Data

Patel, Hiral Ashil,Kumar, A.V. Senthil
Applications of Artificial Neural Networks for Nonlinear Data Book PDF

Author : Patel, Hiral Ashil,Kumar, A.V. Senthil
Publisher : IGI Global
Page : 315 pages
File Size : 41,5 Mb
Release : 2020-09-25
Category : Computers
ISBN : 9781799840435

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Applications of Artificial Neural Networks for Nonlinear Data by Patel, Hiral Ashil,Kumar, A.V. Senthil Pdf

Processing information and analyzing data efficiently and effectively is crucial for any company that wishes to stay competitive in its respective market. Nonlinear data presents new challenges to organizations, however, due to its complexity and unpredictability. The only technology that can properly handle this form of data is artificial neural networks. These modeling systems present a high level of benefits in analyzing complex data in a proficient manner, yet considerable research on the specific applications of these intelligent components is significantly deficient. Applications of Artificial Neural Networks for Nonlinear Data is a collection of innovative research on the contemporary nature of artificial neural networks and their specific implementations within data analysis. While highlighting topics including propagation functions, optimization techniques, and learning methodologies, this book is ideally designed for researchers, statisticians, academicians, developers, scientists, practitioners, students, and educators seeking current research on the use of artificial neural networks in diagnosing and solving nonparametric problems.

Artificial Neural Network Applications in Business and Engineering

Do, Quang Hung
Artificial Neural Network Applications in Business and Engineering Book PDF

Author : Do, Quang Hung
Publisher : IGI Global
Page : 275 pages
File Size : 52,6 Mb
Release : 2021-01-08
Category : Computers
ISBN : 9781799832409

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Artificial Neural Network Applications in Business and Engineering by Do, Quang Hung Pdf

In today’s modernized market, various disciplines continue to search for universally functional technologies that improve upon traditional processes. Artificial neural networks are a set of statistical modeling tools that are capable of processing nonlinear data with strong accuracy. Due to their complexity, utilizing their potential was previously seen as a challenge. However, with the development of artificial intelligence, this technology has proven to be an effective and efficient problem-solving method. Artificial Neural Network Applications in Business and Engineering is an essential reference source that illustrates recent advancements of artificial neural networks in various professional fields, accompanied by specific case studies and practical examples. Featuring research on topics such as training algorithms, transportation, and computer security, this book is ideally designed for researchers, students, developers, managers, engineers, academicians, industrialists, policymakers, and educators seeking coverage on modern trends in artificial neural networks and their real-world implementations.

Handbook of Intelligent Computing and Optimization for Sustainable Development

Mukhdeep Singh Manshahia,Valeriy Kharchenko,Elias Munapo,J. Joshua Thomas,Pandian Vasant
Handbook of Intelligent Computing and Optimization for Sustainable Development Book PDF

Author : Mukhdeep Singh Manshahia,Valeriy Kharchenko,Elias Munapo,J. Joshua Thomas,Pandian Vasant
Publisher : John Wiley & Sons
Page : 944 pages
File Size : 44,7 Mb
Release : 2022-02-11
Category : Technology & Engineering
ISBN : 9781119792628

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Handbook of Intelligent Computing and Optimization for Sustainable Development by Mukhdeep Singh Manshahia,Valeriy Kharchenko,Elias Munapo,J. Joshua Thomas,Pandian Vasant Pdf

HANDBOOK OF INTELLIGENT COMPUTING AND OPTIMIZATION FOR SUSTAINABLE DEVELOPMENT This book provides a comprehensive overview of the latest breakthroughs and recent progress in sustainable intelligent computing technologies, applications, and optimization techniques across various industries. Optimization has received enormous attention along with the rapidly increasing use of communication technology and the development of user-friendly software and artificial intelligence. In almost all human activities, there is a desire to deliver the highest possible results with the least amount of effort. Moreover, optimization is a very well-known area with a vast number of applications, from route finding problems to medical treatment, construction, finance, accounting, engineering, and maintenance schedules in plants. As far as optimization of real-world problems is concerned, understanding the nature of the problem and grouping it in a proper class may help the designer employ proper techniques which can solve the problem efficiently. Many intelligent optimization techniques can find optimal solutions without the use of objective function and are less prone to local conditions. The 41 chapters comprising the Handbook of Intelligent Computing and Optimization for Sustainable Development by subject specialists, represent diverse disciplines such as mathematics and computer science, electrical and electronics engineering, neuroscience and cognitive sciences, medicine, and social sciences, and provide the reader with an integrated understanding of the importance that intelligent computing has in the sustainable development of current societies. It discusses the emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative intelligent techniques in a variety of sectors, including IoT, manufacturing, optimization, and healthcare. Audience It is a pivotal reference source for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research in emerging perspectives in the field of artificial intelligence in the areas of Internet of Things, renewable energy, optimization, and smart cities.

Handbook of Neural Computation

Emile Fiesler,Russell Beale
Handbook of Neural Computation Book PDF

Author : Emile Fiesler,Russell Beale
Publisher : CRC Press
Page : 120 pages
File Size : 43,5 Mb
Release : 1997-01-01
Category : Technology & Engineering
ISBN : 075030524X

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Handbook of Neural Computation by Emile Fiesler,Russell Beale Pdf

In recent years, neural computation has developed from a specialized research discipline into a broadly based and dynamic activity with applications in an astonishing variety of fields. Many scientists, engineers and other practitioners are now using neural networks to tackle problems that are either intractable or unrealistically time consuming to solve through traditional computational strategies. The inaugural volume in the Computational Intelligence Library provides speedy dissemination of new ideas to a broad spectrum of neural network users, designers and implementers. Devoted to network fundamentals, models, algorithms and applications, the work is intended to become the standard reference resource for the neural network community. As the field expands and develops, leading researchers will report on an analyze promising new approaches. In this way, the Handbook will become an evolving compendium on the state of the art of neural computation. Available in loose-leaf print form as well as in an electronic edition that combines both CD-ROM and on-line (World Wide Web) access to its contents, the Handbook of Neural Computation is available on a subscription basis, with regularly published supplements keeping readers abreast of late-breaking developments and new advances in this rapidly developing field.

Handbook of Research on Emerging Trends and Applications of Machine Learning

Solanki, Arun,Kumar, Sandeep,Nayyar, Anand
Handbook of Research on Emerging Trends and Applications of Machine Learning Book PDF

Author : Solanki, Arun,Kumar, Sandeep,Nayyar, Anand
Publisher : IGI Global
Page : 674 pages
File Size : 53,5 Mb
Release : 2019-12-13
Category : Computers
ISBN : 9781522596455

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Handbook of Research on Emerging Trends and Applications of Machine Learning by Solanki, Arun,Kumar, Sandeep,Nayyar, Anand Pdf

As today’s world continues to advance, Artificial Intelligence (AI) is a field that has become a staple of technological development and led to the advancement of numerous professional industries. An application within AI that has gained attention is machine learning. Machine learning uses statistical techniques and algorithms to give computer systems the ability to understand and its popularity has circulated through many trades. Understanding this technology and its countless implementations is pivotal for scientists and researchers across the world. The Handbook of Research on Emerging Trends and Applications of Machine Learning provides a high-level understanding of various machine learning algorithms along with modern tools and techniques using Artificial Intelligence. In addition, this book explores the critical role that machine learning plays in a variety of professional fields including healthcare, business, and computer science. While highlighting topics including image processing, predictive analytics, and smart grid management, this book is ideally designed for developers, data scientists, business analysts, information architects, finance agents, healthcare professionals, researchers, retail traders, professors, and graduate students seeking current research on the benefits, implementations, and trends of machine learning.

Fuzzy Logic and Neural Network Handbook

Chi-hau Chen
Fuzzy Logic and Neural Network Handbook Book PDF

Author : Chi-hau Chen
Publisher : McGraw-Hill Companies
Page : 862 pages
File Size : 49,6 Mb
Release : 1996
Category : Computers
ISBN : UOM:39015037342592

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Fuzzy Logic and Neural Network Handbook by Chi-hau Chen Pdf

A practical reference that presents concise and comprehensive reports on the major activities in fuzzy logic and neural networks, with emphasis on the applications and systems of interest to computer engineers. Each of the 31 chapters focuses on the most important activity of a specific topic, and the chapters are organized into three parts: principles and algorithms; applications; and architectures and systems. The applications for fuzzy logic include home appliance design and manufacturing process; those for neural networks include radar, sonar, and speech signal processing, remote sensing, and electrical power systems. Annotation copyright by Book News, Inc., Portland, OR