Applied Neural Networks for Signal Processing

Filename: applied-neural-networks-for-signal-processing.pdf
ISBN: 0521644003
Release Date: 1998
Number of pages: 367
Author: Fa-Long Luo
Publisher: Cambridge University Press

Download and read online Applied Neural Networks for Signal Processing in PDF and EPUB A comprehensive introduction to the use of neural networks in signal processing.


Handbook of Neural Network Signal Processing

Filename: handbook-of-neural-network-signal-processing.pdf
ISBN: 9781420038613
Release Date: 2001-09-21
Number of pages: 408
Author: Yu Hen Hu
Publisher: CRC Press

Download and read online Handbook of Neural Network Signal Processing in PDF and EPUB 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.


Applying Neural Networks

Filename: applying-neural-networks.pdf
ISBN: 0126791708
Release Date: 1996-01-01
Number of pages: 303
Author: Kevin Swingler
Publisher: Morgan Kaufmann

Download and read online Applying Neural Networks in PDF and EPUB In this computer-based era, neural networks are an invaluable tool. They have been applied extensively in business forecasting, machine health monitoring, process control, and laboratory data analysis due to their modeling capabilities. There are numerous applications for neural networks, but a great deal of care and expertise is necessary to keep a neural-based project in working order. This all-inclusive coverage gives you everything you need to put neural networks into practice. This informative book shows the reader how to plan, run, and benefit from a neural-based project without running into the roadblocks that often crop up. Theauthor uses the most popular type of neural network, the Multi-Layer Perceptron, and presents every step of its development. Each chapter presents a subsequent stage in network development through easy-to-follow discussion. Every decision and possible problem is considered in depth, and solutions are offered. The book includes a how-to-do-it reference section, and a set of worked examples. The second half of the book examines the sucessful application of neural networks in fields including signal processing, financial prediction, business decision support, and process monitoring and control. The book comes complete with a disk containing C and C++ programs to get you started. Key Features *Divides chapters into three sections for quick reference: Discussion, How to do it, and Examples * Examines many case studies and real world examples to illustrate the methods presented * Includes a disk with C and C++ programs which implement many of the techniques discussed in the text * Allows the reader to devolop a neural network based solution


Speech Audio Image and Biomedical Signal Processing using Neural Networks

Filename: speech-audio-image-and-biomedical-signal-processing-using-neural-networks.pdf
ISBN: 9783540753971
Release Date: 2008-01-03
Number of pages: 419
Author: Bhanu Prasad
Publisher: Springer Science & Business Media

Download and read online Speech Audio Image and Biomedical Signal Processing using Neural Networks in PDF and EPUB Humans are remarkable in processing speech, audio, image and some biomedical signals. Artificial neural networks are proved to be successful in performing several cognitive, industrial and scientific tasks. This peer reviewed book presents some recent advances and surveys on the applications of artificial neural networks in the areas of speech, audio, image and biomedical signal processing. It chapters are prepared by some reputed researchers and practitioners around the globe.


Neural Networks for Signal Processing

Filename: neural-networks-for-signal-processing.pdf
ISBN: UOM:39015049116695
Release Date: 2001
Number of pages:
Author:
Publisher:

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Neural Networks in a Softcomputing Framework

Filename: neural-networks-in-a-softcomputing-framework.pdf
ISBN: 9781846283031
Release Date: 2006-08-02
Number of pages: 566
Author: Ke-Lin Du
Publisher: Springer Science & Business Media

Download and read online Neural Networks in a Softcomputing Framework in PDF and EPUB This concise but comprehensive textbook reviews the most popular neural-network methods and their associated techniques. Each chapter provides state-of-the-art descriptions of important major research results of the respective neural-network methods. A range of relevant computational intelligence topics, such as fuzzy logic and evolutionary algorithms – powerful tools for neural-network learning – are introduced. The systematic survey of neural-network models and exhaustive references list will point readers toward topics for future research. The algorithms outlined also make this textbook a valuable reference for scientists and practitioners working in pattern recognition, signal processing, speech and image processing, data analysis and artificial intelligence.


An Introduction to Neural Networks

Filename: an-introduction-to-neural-networks.pdf
ISBN: 9780203451519
Release Date: 2003-12-16
Number of pages: 234
Author: Kevin Gurney
Publisher: CRC Press

Download and read online An Introduction to Neural Networks in PDF and EPUB Though mathematical ideas underpin the study of neural networks, the author presents the fundamentals without the full mathematical apparatus. All aspects of the field are tackled, including artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gradient descent methods, including back-propagation; associative memory and Hopfield nets; and self-organization and feature maps. The traditionally difficult topic of adaptive resonance theory is clarified within a hierarchical description of its operation. The book also includes several real-world examples to provide a concrete focus. This should enhance its appeal to those involved in the design, construction and management of networks in commercial environments and who wish to improve their understanding of network simulator packages. As a comprehensive and highly accessible introduction to one of the most important topics in cognitive and computer science, this volume should interest a wide range of readers, both students and professionals, in cognitive science, psychology, computer science and electrical engineering.


Artificial Neural Networks ICANN 2009

Filename: artificial-neural-networks-icann-2009.pdf
ISBN: 9783642042768
Release Date: 2009-09-03
Number of pages: 1002
Author: Cesare Alippi
Publisher: Springer Science & Business Media

Download and read online Artificial Neural Networks ICANN 2009 in PDF and EPUB This two volume set LNCS 5768 and LNCS 5769 constitutes the refereed proceedings of the 19th International Conference on Artificial Neural Networks, ICANN 2009, held in Limassol, Cyprus, in September 2009. The 200 revised full papers presented were carefully reviewed and selected from more than 300 submissions. The first volume is divided in topical sections on learning algorithms; computational neuroscience; hardware implementations and embedded systems; self organization; intelligent control and adaptive systems; neural and hybrid architectures; support vector machine; and recurrent neural network.


Advances in Computational Intelligence

Filename: advances-in-computational-intelligence.pdf
ISBN: 9783319591537
Release Date: 2017-07-25
Number of pages: 761
Author: Ignacio Rojas
Publisher: Springer

Download and read online Advances in Computational Intelligence in PDF and EPUB This two-volume set LNCS 10305 and LNCS 10306 constitutes the refereed proceedings of the 14th International Work-Conference on Artificial Neural Networks, IWANN 2017, held in Cadiz, Spain, in June 2017. The 126 revised full papers presented in this double volume were carefully reviewed and selected from 199 submissions. The papers are organized in topical sections on Bio-inspired Computing; E-Health and Computational Biology; Human Computer Interaction; Image and Signal Processing; Mathematics for Neural Networks; Self-organizing Networks; Spiking Neurons; Artificial Neural Networks in Industry ANNI'17; Computational Intelligence Tools and Techniques for Biomedical Applications; Assistive Rehabilitation Technology; Computational Intelligence Methods for Time Series; Machine Learning Applied to Vision and Robotics; Human Activity Recognition for Health and Well-Being Applications; Software Testing and Intelligent Systems; Real World Applications of BCI Systems; Machine Learning in Imbalanced Domains; Surveillance and Rescue Systems and Algorithms for Unmanned Aerial Vehicles; End-User Development for Social Robotics; Artificial Intelligence and Games; and Supervised, Non-Supervised, Reinforcement and Statistical Algorithms.


Neural Networks for Intelligent Signal Processing

Filename: neural-networks-for-intelligent-signal-processing.pdf
ISBN: 9812383050
Release Date: 2003-01-01
Number of pages: 484
Author: Anthony Zaknich
Publisher: World Scientific Publishing Company Incorporated

Download and read online Neural Networks for Intelligent Signal Processing in PDF and EPUB This book provides a thorough theoretical and practical introduction to the application of neural networks to pattern recognition and intelligent signal processing. It has been tested on students, unfamiliar with neural networks, who were able to pick up enough details to successfully complete their masters or final year undergraduate projects. The text also presents a comprehensive treatment of a class of neural networks called common bandwidth spherical basis function NNs, including the probabilistic NN, the modified probabilistic NN and the general regression NN.


Artificial Neural Networks in Biomedicine

Filename: artificial-neural-networks-in-biomedicine.pdf
ISBN: 1852330058
Release Date: 2000-02-02
Number of pages: 287
Author: Paulo J.G. Lisboa
Publisher: Springer Science & Business Media

Download and read online Artificial Neural Networks in Biomedicine in PDF and EPUB This volume provides a state-of-the-art survey of artificial neural network applications in biomedical diagnosis, laboratory data analysis and related practical areas. It looks at biomedical applications which involve customising neural network technology to resolve specific difficulties with data processing, and deals with applications relating to particular aspects of clinical practice and laboratory or medically-related analysis. Each chapter is self-contained with regard to the technology used, covering important technical points and implementation issues like the design of user interfaces and hardware/software platforms. Artificial Neural Networks in Biomedicine will be of interest to computer scientists and neural network practitioners who want to extend their knowledge of issues relevant to biomedical applications, developers of clinical computer systems, and medical researchers looking for new methods and computational tools.


Neural networks for signal processing VIII

Filename: neural-networks-for-signal-processing-viii.pdf
ISBN: 0780350618
Release Date: 1998
Number of pages: 598
Author: Mahesan Niranjan
Publisher:

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Elements of Artificial Neural Networks

Filename: elements-of-artificial-neural-networks.pdf
ISBN: 0262133288
Release Date: 1997-01
Number of pages: 344
Author: Kishan Mehrotra
Publisher: MIT Press

Download and read online Elements of Artificial Neural Networks in PDF and EPUB Elements of Artificial Neural Networks provides a clearly organized general introduction, focusing on a broad range of algorithms, for students and others who want to use neural networks rather than simply study them. The authors, who have been developing and team teaching the material in a one-semester course over the past six years, describe most of the basic neural network models (with several detailed solved examples) and discuss the rationale and advantages of the models, as well as their limitations. The approach is practical and open-minded and requires very little mathematical or technical background. Written from a computer science and statistics point of view, the text stresses links to contiguous fields and can easily serve as a first course for students in economics and management. The opening chapter sets the stage, presenting the basic concepts in a clear and objective way and tackling important -- yet rarely addressed -- questions related to the use of neural networks in practical situations. Subsequent chapters on supervised learning (single layer and multilayer networks), unsupervised learning, and associative models are structured around classes of problems to which networks can be applied. Applications are discussed along with the algorithms. A separate chapter takes up optimization methods. The most frequently used algorithms, such as backpropagation, are introduced early on, right after perceptrons, so that these can form the basis for initiating course projects. Algorithms published as late as 1995 are also included. All of the algorithms are presented using block-structured pseudo-code, and exercises are provided throughout. Software implementing many commonly used neural network algorithms is available at the book's website. Transparency masters, including abbreviated text and figures for the entire book, are available for instructors using the text.


Advances in Neural Networks ISNN 2004

Filename: advances-in-neural-networks-isnn-2004.pdf
ISBN: 9783540228417
Release Date: 2004-08-11
Number of pages: 1041
Author: Fuliang Yin
Publisher: Springer Science & Business Media

Download and read online Advances in Neural Networks ISNN 2004 in PDF and EPUB The two volume set LNCS 3173/3174 constitutes the refereed proceedings of the International Symposium on Neural Networks, ISNN 2004, held in Dalian, China in August 2004. The 329 papers presented were carefully reviewed and selected from more than 800 submissions. The papers span the entire scope of neural computing and its applications; they are organized in 11 major topical parts on theoretical analysis; learning and optimization; support vector machines; blind source separation, independent component analysis, and principal component analysis; clustering and classification; robotics and control; telecommunications; signal image, and time series analysis; biomedical applications; detection, diagnosis, and computer security; and other applications.


Electronics and Signal Processing

Filename: electronics-and-signal-processing.pdf
ISBN: 3642216978
Release Date: 2011-06-21
Number of pages: 1058
Author: Wensong Hu
Publisher: Springer Science & Business Media

Download and read online Electronics and Signal Processing in PDF and EPUB This volume includes extended and revised versions of a set of selected papers from the International Conference on Electric and Electronics (EEIC 2011) , held on June 20-22 , 2011, which is jointly organized by Nanchang University, Springer, and IEEE IAS Nanchang Chapter. The objective of EEIC 2011 Volume 1 is to provide a major interdisciplinary forum for the presentation of new approaches from Electronics and Signal Processing, to foster integration of the latest developments in scientific research. 133 related topic papers were selected into this volume. All the papers were reviewed by 2 program committee members and selected by the volume editor Prof. Wensong Hu. We hope every participant can have a good opportunity to exchange their research ideas and results and to discuss the state of the art in the areas of the Electronics and Signal Processing.