Handbook Of Neural Computing Applications

Handbook of Neural Computing Applications PDF
Author: Alianna J. Maren
Publisher: Academic Press
ISBN: 148326484X
Size: 35.14 MB
Format: PDF
Category : Computers
Languages : en
Pages : 470
View: 6284

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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

Handbook of Neural Computation PDF
Author: Pijush Samui
Publisher: Academic Press
ISBN: 0128113197
Size: 67.81 MB
Format: PDF
Category : Technology & Engineering
Languages : en
Pages : 658
View: 6246

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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 Geometric Computing

Handbook of Geometric Computing PDF
Author: Eduardo Bayro Corrochano
Publisher: Springer Science & Business Media
ISBN: 3540282475
Size: 22.73 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 779
View: 5172

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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.

Handbook Of Deep Learning Applications

Handbook of Deep Learning Applications PDF
Author: Valentina Emilia Balas
Publisher: Springer
ISBN: 3030114791
Size: 12.50 MB
Format: PDF, ePub
Category : Technology & Engineering
Languages : en
Pages : 383
View: 750

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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 Neural Computation

Handbook of Neural Computation PDF
Author: Emile Fiesler
Publisher: CRC Press
ISBN: 1420050648
Size: 57.69 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 436
View: 638

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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 Network Signal Processing

Handbook of Neural Network Signal Processing PDF
Author: Yu Hen Hu
Publisher: CRC Press
ISBN: 1351836307
Size: 48.27 MB
Format: PDF, Kindle
Category : Technology & Engineering
Languages : en
Pages : 408
View: 2287

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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.

Naval Research Reviews

Naval Research Reviews PDF
Author:
Publisher:
ISBN:
Size: 38.57 MB
Format: PDF, Mobi
Category : Naval research
Languages : en
Pages :
View: 7726

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Industrial Applications Of Neural Networks

Industrial Applications of Neural Networks PDF
Author: Ian F. Croall
Publisher: Springer Science & Business Media
ISBN: 3642848370
Size: 10.31 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 297
View: 834

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Neural network technology encompasses a class of methods which attempt to mimic the basic structures used in the brain for information processing. Thetechnology is aimed at problems such as pattern recognition which are difficult for traditional computational methods. Neural networks have potential applications in many industrial areas such as advanced robotics, operations research, and process engineering. This book is concerned with the application of neural network technology to real industrial problems. It summarizes a three-year collaborative international project called ANNIE (Applications of Neural Networks for Industry in Europe) which was jointly funded by industry and the European Commission within the ESPRIT programme. As a record of a working project, the book gives an insight into the real problems faced in taking a new technology from the workbench into a live industrial application, and shows just how it can be achieved. It stresses the comparison between neural networks and conventional approaches. Even the non-specialist reader will benefit from understanding the limitations as well as the advantages of the new technology.

Handbook Of Research On Machine Learning Applications And Trends Algorithms Methods And Techniques

Handbook of Research on Machine Learning Applications and Trends  Algorithms  Methods  and Techniques PDF
Author: Olivas, Emilio Soria
Publisher: IGI Global
ISBN: 1605667676
Size: 66.99 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 852
View: 6460

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"This book investiges machine learning (ML), one of the most fruitful fields of current research, both in the proposal of new techniques and theoretic algorithms and in their application to real-life problems"--Provided by publisher.