Handbook of Neural Computation Book
Score: 4.5
From 3 Ratings

Handbook of Neural Computation


  • Author : Pijush Samui
  • Publisher : Academic Press
  • Release Date : 2017-07-18
  • Genre: Technology & Engineering
  • Pages : 658
  • ISBN 10 : 9780128113196

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Handbook of Neural Computation Excerpt :

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

Handbook of Neural Computing Applications Book

Handbook of Neural Computing Applications


  • Author : Alianna J. Maren
  • Publisher : Academic Press
  • Release Date : 2014-05-10
  • Genre: Computers
  • Pages : 470
  • ISBN 10 : 9781483264844

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Handbook of Neural Computing Applications 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.

The Handbook of Brain Theory and Neural Networks Book

The Handbook of Brain Theory and Neural Networks


  • Author : Michael A. Arbib
  • Publisher : MIT Press
  • Release Date : 2003
  • Genre: Computers
  • Pages : 1328
  • ISBN 10 : 9780262011976

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The Handbook of Brain Theory and Neural Networks Excerpt :

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 Book

Handbook of Neural Computation


  • Author : Emile Fiesler
  • Publisher : CRC Press
  • Release Date : 2020-01-15
  • Genre: Computers
  • Pages : 436
  • ISBN 10 : 9781420050646

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Handbook of Neural Computation Excerpt :

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 probl

Handbook of Neural Computation Book

Handbook of Neural Computation


  • Author : E Fiesler
  • Publisher : CRC Press
  • Release Date : 1996-01-01
  • Genre: Mathematics
  • Pages : 436
  • ISBN 10 : 0750303123

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Handbook of Neural Computation Excerpt :

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.

Handbook of Neural Computation Book

Handbook of Neural Computation


  • Author : Emile Fiesler
  • Publisher : CRC Press
  • Release Date : 1997-01-01
  • Genre: Technology & Engineering
  • Pages : 122
  • ISBN 10 : 075030524X

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Handbook of Neural Computation Excerpt :

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 Neural Network Signal Processing Book

Handbook of Neural Network Signal Processing


  • Author : Yu Hen Hu
  • Publisher : CRC Press
  • Release Date : 2018-10-03
  • Genre: Technology & Engineering
  • Pages : 408
  • ISBN 10 : 9781420038613

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Handbook of Neural Network Signal Processing Excerpt :

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.

Neural Computing   An Introduction Book
Score: 4.5
From 2 Ratings

Neural Computing An Introduction


  • Author : R Beale
  • Publisher : CRC Press
  • Release Date : 1990-01-01
  • Genre: Mathematics
  • Pages : 260
  • ISBN 10 : 1420050435

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Neural Computing An Introduction Excerpt :

Neural computing is one of the most interesting and rapidly growing areas of research, attracting researchers from a wide variety of scientific disciplines. Starting from the basics, Neural Computing covers all the major approaches, putting each in perspective in terms of their capabilities, advantages, and disadvantages. The book also highlights the applications of each approach and explores the relationships among models developed and between the brain and its function. A comprehensive and comprehensible introduction to the subject, this book is ideal for undergraduates in computer science, physicists, communications engineers, workers involved in artificial intelligence, biologists, psychologists, and physiologists.

Handbook of Neural Activity Measurement Book

Handbook of Neural Activity Measurement


  • Author : Romain Brette
  • Publisher : Cambridge University Press
  • Release Date : 2012-09-06
  • Genre: Mathematics
  • Pages : 493
  • ISBN 10 : 9780521516228

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Handbook of Neural Activity Measurement Excerpt :

Underlying principles of the various techniques are explained, enabling neuroscientists to extract meaningful information from their measurements.

Handbook of Neuroevolution Through Erlang Book

Handbook of Neuroevolution Through Erlang


  • Author : Gene I. Sher
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-11-06
  • Genre: Computers
  • Pages : 831
  • ISBN 10 : 9781461444633

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Handbook of Neuroevolution Through Erlang Excerpt :

Handbook of Neuroevolution Through Erlang presents both the theory behind, and the methodology of, developing a neuroevolutionary-based computational intelligence system using Erlang. With a foreword written by Joe Armstrong, this handbook offers an extensive tutorial for creating a state of the art Topology and Weight Evolving Artificial Neural Network (TWEANN) platform. In a step-by-step format, the reader is guided from a single simulated neuron to a complete system. By following these steps, the reader will be able to use novel technology to build a TWEANN system, which can be applied to Artificial Life simulation, and Forex trading. Because of Erlang’s architecture, it perfectly matches that of evolutionary and neurocomptational systems. As a programming language, it is a concurrent, message passing paradigm which allows the developers to make full use of the multi-core & multi-cpu systems. Handbook of Neuroevolution Through Erlang explains how to leverage Erlang’s features in the field of machine learning, and the system’s real world applications, ranging from algorithmic financial trading to artificial life and robotics.

Handbook of Neural Engineering Book

Handbook of Neural Engineering


  • Author : Metin Akay
  • Publisher : John Wiley & Sons
  • Release Date : 2007-01-09
  • Genre: Medical
  • Pages : 800
  • ISBN 10 : 9780470068281

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Handbook of Neural Engineering Excerpt :

An important new work establishing a foundation for future developments in neural engineering The Handbook of Neural Engineering provides theoretical foundations in computational neural science and engineering and current applications in wearable and implantable neural sensors/probes. Inside, leading experts from diverse disciplinary groups representing academia, industry, and private and government organizations present peer-reviewed contributions on the brain-computer interface, nano-neural engineering, neural prostheses, imaging the brain, neural signal processing, the brain, and neurons. The Handbook of Neural Engineering covers: Neural signal and image processing--the analysis and modeling of neural activity and EEG-related activities using the nonlinear and nonstationary analysis methods, including the chaos, fractal, and time-frequency and time-scale analysis methods--and how to measure functional, physiological, and metabolic activities in the human brain using current and emerging medical imaging technologies Neuro-nanotechnology, artificial implants, and neural prosthesis--the design of multi-electrode arrays to study how the neurons of human and animals encode stimuli, the evaluation of functional changes in neural networks after stroke and spinal cord injuries, and improvements in therapeutic applications using neural prostheses Neurorobotics and neural rehabilitation engineering--the recent developments in the areas of biorobotic system, biosonar head, limb kinematics, and robot-assisted activity to improve the treatment of elderly subjects at the hospital and home, as well as the interactions of the neuron chip, neural information processing, perception and neural dynamics, learning memory and behavior, biological neural networks, and neural control

Cognitive Computing  Theory and Applications Book

Cognitive Computing Theory and Applications


  • Author : Vijay V Raghavan
  • Publisher : Elsevier
  • Release Date : 2016-09-10
  • Genre: Mathematics
  • Pages : 404
  • ISBN 10 : 9780444637512

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Cognitive Computing Theory and Applications Excerpt :

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 Machine Learning for Computational Optimization Book

Handbook of Machine Learning for Computational Optimization


  • Author : Vishal Jain
  • Publisher : CRC Press
  • Release Date : 2021-11-02
  • Genre: Technology & Engineering
  • Pages : 297
  • ISBN 10 : 9781000455687

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Handbook of Machine Learning for Computational Optimization Excerpt :

Technology is moving at an exponential pace in this era of computational intelligence. Machine learning has emerged as one of the most promising tools used to challenge and think beyond current limitations. This handbook will provide readers with a leading edge to improving their products and processes through optimal and smarter machine learning techniques. This handbook focuses on new machine learning developments that can lead to newly developed applications. It uses a predictive and futuristic approach, which makes machine learning a promising tool for processes and sustainable solutions. It also promotes newer algorithms that are more efficient and reliable for new dimensions in discovering other applications, and then goes on to discuss the potential in making better use of machines in order to ensure optimal prediction, execution, and decision-making. Individuals looking for machine learning-based knowledge will find interest in this handbook. The readership ranges from undergraduate students of engineering and allied courses to researchers, professionals, and application designers.

Handbook of Human Computation Book

Handbook of Human Computation


  • Author : Pietro Michelucci
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-12-04
  • Genre: Computers
  • Pages : 1059
  • ISBN 10 : 9781461488064

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Handbook of Human Computation Excerpt :

This volume addresses the emerging area of human computation, The chapters, written by leading international researchers, explore existing and future opportunities to combine the respective strengths of both humans and machines in order to create powerful problem-solving capabilities. The book bridges scientific communities, capturing and integrating the unique perspective and achievements of each. It coalesces contributions from industry and across related disciplines in order to motivate, define, and anticipate the future of this exciting new frontier in science and cultural evolution. Readers can expect to find valuable contributions covering Foundations; Application Domains; Techniques and Modalities; Infrastructure and Architecture; Algorithms; Participation; Analysis; Policy and Security and the Impact of Human Computation. Researchers and professionals will find the Handbook of Human Computation a valuable reference tool. The breadth of content also provides a thorough foundation for students of the field.

Handbook of Neural Networks for Speech Processing Book

Handbook of Neural Networks for Speech Processing


  • Author : Shigeru Katagiri
  • Publisher : Artech House Publishers
  • Release Date : 2000
  • Genre: Computers
  • Pages : 522
  • ISBN 10 : UOM:39015049972048

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Handbook of Neural Networks for Speech Processing Excerpt :

Here are the comprehensive details on cutting edge technologies employing neural networks for speech recognition and speech processing in modern communications. Going far beyond the simple speech recognition technologies on the market today, this new book, written by and for speech and signal processing engineers in industry, R&D, and academia, takes you to the forefront of the hottest emergent neural net-based speech processing techniques.