Handbook of Neural Computation

Book Handbook of Neural Computation Cover

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  • Publisher : Academic Press
  • Release : 18 July 2017
  • ISBN : 9780128113196
  • Page : 658 pages
  • Rating : 4.5/5 from 3 voters

Download Handbook of Neural Computation in PDF, Epub and Kindle

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

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Handbook of Neural Computation

Handbook of Neural Computation
  • Author : Pijush Samui,Sanjiban Sekhar Roy,Valentina E. Balas
  • Publisher : Academic Press
  • Release Date : 2017-07-18
  • ISBN : 9780128113196
GET THIS BOOKHandbook of Neural Computation

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

Handbook of Neural Computing Applications

Handbook of Neural Computing Applications
  • Author : Alianna J. Maren,Craig T. Harston,Robert M. Pap
  • Publisher : Academic Press
  • Release Date : 2014-05-10
  • ISBN : 9781483264844
GET THIS BOOKHandbook of Neural Computing Applications

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

Guide to Neural Computing Applications

Guide to Neural Computing Applications
  • Author : Lionel Tarassenko
  • Publisher : Elsevier
  • Release Date : 1998-01-30
  • ISBN : 9780080512600
GET THIS BOOKGuide to Neural Computing Applications

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

Handbook of Neural Computation

Handbook of Neural Computation
  • Author : E Fiesler,R Beale
  • Publisher : CRC Press
  • Release Date : 1996-01-01
  • ISBN : 0750303123
GET THIS BOOKHandbook of Neural Computation

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

Handbook of Neural Computation
  • Author : Pijush Samui,Sanjiban Sekhar Roy,Valentina E. Balas
  • Publisher : Academic Press
  • Release Date : 2017-07-28
  • ISBN : 0128113189
GET THIS BOOKHandbook of Neural Computation

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

The Handbook of Brain Theory and Neural Networks

The Handbook of Brain Theory and Neural Networks
  • Author : Michael A. Arbib,Fletcher Jones Professor of Computer Science and Professor of Biological Sciences Biomedical Engineering Neuroscience and Psychology Michael A Arbib,Prudence H. Arbib
  • Publisher : MIT Press
  • Release Date : 2003
  • ISBN : 9780262011976
GET THIS BOOKThe Handbook of Brain Theory and Neural Networks

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 Network Signal Processing

Handbook of Neural Network Signal Processing
  • Author : Yu Hen Hu,Jenq-Neng Hwang
  • Publisher : CRC Press
  • Release Date : 2018-10-03
  • ISBN : 9781420038613
GET THIS BOOKHandbook of Neural Network Signal Processing

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,

Handbook of Neural Networks for Speech Processing

Handbook of Neural Networks for Speech Processing
  • Author : Shigeru Katagiri
  • Publisher : Artech House Publishers
  • Release Date : 2000
  • ISBN : UOM:39015049972048
GET THIS BOOKHandbook of Neural Networks for Speech Processing

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.

Handbook of Deep Learning Applications

Handbook of Deep Learning Applications
  • Author : Valentina Emilia Balas,Sanjiban Sekhar Roy,Dharmendra Sharma,Pijush Samui
  • Publisher : Springer
  • Release Date : 2019-02-25
  • ISBN : 9783030114794
GET THIS BOOKHandbook of Deep Learning Applications

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

Handbook of Neural Computation

Handbook of Neural Computation
  • Author : Emile Fiesler,Russell Beale
  • Publisher : CRC Press
  • Release Date : 2020-01-15
  • ISBN : 9781420050646
GET THIS BOOKHandbook of Neural Computation

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

The Handbook of Brain Theory and Neural Networks

The Handbook of Brain Theory and Neural Networks
  • Author : Michael A. Arbib
  • Publisher : MIT Press (MA)
  • Release Date : 1998
  • ISBN : 0262511029
GET THIS BOOKThe Handbook of Brain Theory and Neural Networks

Choice Outstanding Academic Title, 1996. In hundreds of articles by experts from around the world, and in overviews and "road maps" prepared by the editor, The Handbook of Brain Theory and Neural Networks charts the immense progress made in recent years in many specific areas related to great questions: How does the brain work? How can we build intelligent machines? While many books discuss limited aspects of one subfield or another of brain theory and neural networks, the Handbook covers the

Convolutional Neural Networks in Visual Computing

Convolutional Neural Networks in Visual Computing
  • Author : Ragav Venkatesan,Baoxin Li
  • Publisher : CRC Press
  • Release Date : 2017-10-23
  • ISBN : 9781351650328
GET THIS BOOKConvolutional Neural Networks in Visual Computing

This book covers the fundamentals in designing and deploying techniques using deep architectures. It is intended to serve as a beginner's guide to engineers or students who want to have a quick start on learning and/or building deep learning systems. This book provides a good theoretical and practical understanding and a complete toolkit of basic information and knowledge required to understand and build convolutional neural networks (CNN) from scratch. The book focuses explicitly on convolutional neural networks, filtering out

Handbook of Neuroevolution Through Erlang

Handbook of Neuroevolution Through Erlang
  • Author : Gene I. Sher
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-11-06
  • ISBN : 9781461444633
GET THIS BOOKHandbook of Neuroevolution Through Erlang

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

Handbook of Machine Learning for Computational Optimization

Handbook of Machine Learning for Computational Optimization
  • Author : Vishal Jain,Sapna Juneja,Abhinav Juneja,Ramani Kannan
  • Publisher : CRC Press
  • Release Date : 2021-11-02
  • ISBN : 9781000455687
GET THIS BOOKHandbook of Machine Learning for Computational Optimization

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

Handbook on Soft Computing for Video Surveillance

Handbook on Soft Computing for Video Surveillance
  • Author : Sankar K. Pal,Alfredo Petrosino,Lucia Maddalena
  • Publisher : CRC Press
  • Release Date : 2012-01-25
  • ISBN : 9781439856840
GET THIS BOOKHandbook on Soft Computing for Video Surveillance

Information on integrating soft computing techniques into video surveillance is widely scattered among conference papers, journal articles, and books. Bringing this research together in one source, Handbook on Soft Computing for Video Surveillance illustrates the application of soft computing techniques to different tasks in video surveillance. Worldwide experts in the field present novel solutions to video surveillance problems and discuss future trends. After an introduction to video surveillance systems and soft computing tools, the book gives examples of neural network-based