Handbook of Neural Network Signal Processing PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Handbook of Neural Network Signal Processing PDF full book. Access full book title Handbook of Neural Network Signal Processing by Yu Hen Hu. Download full books in PDF and EPUB format.

Handbook of Neural Network Signal Processing

Handbook of Neural Network Signal Processing PDF Author: Yu Hen Hu
Publisher: CRC Press
ISBN: 1420038613
Category : Technology & Engineering
Languages : en
Pages : 408

Book Description
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.

Handbook of Neural Network Signal Processing

Handbook of Neural Network Signal Processing PDF Author: Yu Hen Hu
Publisher: CRC Press
ISBN: 1420038613
Category : Technology & Engineering
Languages : en
Pages : 408

Book Description
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.

Applied Neural Networks for Signal Processing

Applied Neural Networks for Signal Processing PDF Author: Fa-Long Luo
Publisher: Cambridge University Press
ISBN: 9780521644006
Category : Computers
Languages : en
Pages : 388

Book Description
A comprehensive introduction to the use of neural networks in signal processing.

Applied Neural Networks for Signal Processing

Applied Neural Networks for Signal Processing PDF Author: Fa-Long Luo
Publisher: Cambridge University Press
ISBN: 9780521563918
Category : Technology & Engineering
Languages : en
Pages : 381

Book Description
The use of neural networks in signal processing is becoming increasingly widespread, with applications in many areas. Applied Neural Networks for Signal Processing is the first book to provide a comprehensive introduction to this broad field. It begins by covering the basic principles and models of neural networks in signal processing. The authors then discuss a number of powerful algorithms and architectures for a range of important problems, and describe practical implementation procedures. A key feature of the book is that many carefully designed simulation examples are included to help guide the reader in the development of systems for new applications. The book will be an invaluable reference for scientists and engineers working in communications, control or any other field related to signal processing. It can also be used as a textbook for graduate courses in electrical engineering and computer science.

Application of Signal Processing Tools and Artificial Neural Network in Diagnosis of Power System Faults

Application of Signal Processing Tools and Artificial Neural Network in Diagnosis of Power System Faults PDF Author: Nabamita Banerjee Roy
Publisher: CRC Press
ISBN: 1000414906
Category : Technology & Engineering
Languages : en
Pages : 144

Book Description
Explores methods of fault identification through programming and simulation in MATLAB Examines signal processing tools and their applications with examples Provides knowledge of artificial neural networks and their applications with illustrations Uses PNN and BPNN to identify the different types of faults and obtain their corresponding locations Discusses the programming of signal processing using Wavelet Transform and S-Transform

Neural Networks for Intelligent Signal Processing

Neural Networks for Intelligent Signal Processing PDF Author: Anthony Zaknich
Publisher: World Scientific
ISBN: 9812383050
Category : Technology & Engineering
Languages : en
Pages : 510

Book Description
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.

Neural Networks for Optimization and Signal Processing

Neural Networks for Optimization and Signal Processing PDF Author: Andrzej Cichocki
Publisher: John Wiley & Sons
ISBN:
Category : Computers
Languages : en
Pages : 578

Book Description
A topical introduction on the ability of artificial neural networks to not only solve on-line a wide range of optimization problems but also to create new techniques and architectures. Provides in-depth coverage of mathematical modeling along with illustrative computer simulation results.

Applying Neural Networks

Applying Neural Networks PDF Author: Kevin Swingler
Publisher: Morgan Kaufmann
ISBN: 9780126791709
Category : Computers
Languages : en
Pages : 348

Book Description
This book is designed to enable the reader to design and run a neural network-based project. It presents everything the reader will need to know to ensure the success of such a project. The book contains a free disk with C and C++ programs, which implement many of the techniques discussed in the book.

Process Neural Networks

Process Neural Networks PDF Author: Xingui He
Publisher: Springer Science & Business Media
ISBN: 3540737626
Category : Computers
Languages : en
Pages : 240

Book Description
For the first time, this book sets forth the concept and model for a process neural network. You’ll discover how a process neural network expands the mapping relationship between the input and output of traditional neural networks and greatly enhances the expression capability of artificial neural networks. Detailed illustrations help you visualize information processing flow and the mapping relationship between inputs and outputs.

Fuzzy Systems and Soft Computing in Nuclear Engineering

Fuzzy Systems and Soft Computing in Nuclear Engineering PDF Author: Da Ruan
Publisher: Springer Science & Business Media
ISBN: 9783790812510
Category : Business & Economics
Languages : en
Pages : 506

Book Description
This book is an organized edited collection of twenty-one contributed chapters covering nuclear engineering applications of fuzzy systems, neural networks, genetic algorithms and other soft computing techniques. All chapters are either updated review or original contributions by leading researchers written exclusively for this volume. The volume highlights the advantages of applying fuzzy systems and soft computing in nuclear engineering, which can be viewed as complementary to traditional methods. As a result, fuzzy sets and soft computing provide a powerful tool for solving intricate problems pertaining in nuclear engineering. Each chapter of the book is self-contained and also indicates the future research direction on this topic of applications of fuzzy systems and soft computing in nuclear engineering.

Artificial Intelligence in the Age of Neural Networks and Brain Computing

Artificial Intelligence in the Age of Neural Networks and Brain Computing PDF Author: Robert Kozma
Publisher: Academic Press
ISBN: 0323958168
Category : Computers
Languages : en
Pages : 398

Book Description
Artificial Intelligence in the Age of Neural Networks and Brain Computing, Second Edition demonstrates that present disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity, and smart autonomous search engines. The book covers the major basic ideas of "brain-like computing" behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as possible future alternatives. The present success of AI-based commercial products proposed by top industry leaders, such as Google, IBM, Microsoft, Intel, and Amazon, can be interpreted using the perspective presented in this book by viewing the co-existence of a successful synergism among what is referred to as computational intelligence, natural intelligence, brain computing, and neural engineering. The new edition has been updated to include major new advances in the field, including many new chapters. - Developed from the 30th anniversary of the International Neural Network Society (INNS) and the 2017 International Joint Conference on Neural Networks (IJCNN - Authored by top experts, global field pioneers, and researchers working on cutting-edge applications in signal processing, speech recognition, games, adaptive control and decision-making - Edited by high-level academics and researchers in intelligent systems and neural networks - Includes all new chapters, including topics such as Frontiers in Recurrent Neural Network Research; Big Science, Team Science, Open Science for Neuroscience; A Model-Based Approach for Bridging Scales of Cortical Activity; A Cognitive Architecture for Object Recognition in Video; How Brain Architecture Leads to Abstract Thought; Deep Learning-Based Speech Separation and Advances in AI, Neural Networks