A Two Stage Neural Network Blind Equalizer
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A Two stage Neural Network Blind Equalizer
Author | : Chiu Fai Wong |
Publsiher | : Unknown |
Total Pages | : 506 |
Release | : 1996 |
Genre | : Electronic Book |
ISBN | : CORNELL:31924077500480 |
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Blind Equalization in Neural Networks
Author | : Liyi Zhang |
Publsiher | : Walter de Gruyter GmbH & Co KG |
Total Pages | : 268 |
Release | : 2017-12-18 |
Genre | : Computers |
ISBN | : 9783110450293 |
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The book begins with an introduction of blind equalization theory and its application in neural networks, then discusses the algorithms in recurrent networks, fuzzy networks and other frequently-studied neural networks. Each algorithm is accompanied by derivation, modeling and simulation, making the book an essential reference for electrical engineers, computer intelligence researchers and neural scientists.
Blind Equalization in Neural Networks
Author | : Liyi Zhang |
Publsiher | : Walter de Gruyter GmbH & Co KG |
Total Pages | : 268 |
Release | : 2017-12-18 |
Genre | : Computers |
ISBN | : 9783110449679 |
Download Blind Equalization in Neural Networks Book in PDF, Epub and Kindle
The book begins with an introduction of blind equalization theory and its application in neural networks, then discusses the algorithms in recurrent networks, fuzzy networks and other frequently-studied neural networks. Each algorithm is accompanied by derivation, modeling and simulation, making the book an essential reference for electrical engineers, computer intelligence researchers and neural scientists.
Blind Equalization Using Artificial Neural Networks
Author | : Chiu Fai Wong |
Publsiher | : Unknown |
Total Pages | : 234 |
Release | : 1994 |
Genre | : Electronic Book |
ISBN | : CORNELL:31924073544300 |
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Information Computing and Automation
Author | : Anonim |
Publsiher | : Unknown |
Total Pages | : 135 |
Release | : 2024 |
Genre | : Electronic Book |
ISBN | : 9789814471381 |
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Adaptive Blind Signal and Image Processing
Author | : Andrzej Cichocki,Shun-ichi Amari |
Publsiher | : John Wiley & Sons |
Total Pages | : 596 |
Release | : 2002-06-14 |
Genre | : Science |
ISBN | : 0471607916 |
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Im Mittelpunkt dieses modernen und spezialisierten Bandes stehen adaptive Strukturen und unüberwachte Lernalgorithmen, besonders im Hinblick auf effektive Computersimulationsprogramme. Anschauliche Illustrationen und viele Beispiele sowie eine interaktive CD-ROM ergänzen den Text.
Advances in Neural Networks isnn 2006
Author | : Anonim |
Publsiher | : Springer Science & Business Media |
Total Pages | : 1507 |
Release | : 2006 |
Genre | : Artificial intelligence |
ISBN | : 9783540344391 |
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Advances in Neural Networks ISNN 2009
Author | : Wen Yu,Haibo He,Nian Zhang |
Publsiher | : Springer |
Total Pages | : 1245 |
Release | : 2009-05-21 |
Genre | : Computers |
ISBN | : 9783642015137 |
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This book and its companion volumes, LNCS vols. 5551, 5552 and 5553, constitute the proceedings of the 6th International Symposium on Neural Networks (ISNN 2009), held during May 26–29, 2009 in Wuhan, China. Over the past few years, ISNN has matured into a well-established premier international symposium on neural n- works and related fields, with a successful sequence of ISNN symposia held in Dalian (2004), Chongqing (2005), Chengdu (2006), Nanjing (2007), and Beijing (2008). Following the tradition of the ISNN series, ISNN 2009 provided a high-level inter- tional forum for scientists, engineers, and educators to present state-of-the-art research in neural networks and related fields, and also to discuss with international colleagues on the major opportunities and challenges for future neural network research. Over the past decades, the neural network community has witnessed tremendous - forts and developments in all aspects of neural network research, including theoretical foundations, architectures and network organizations, modeling and simulation, - pirical study, as well as a wide range of applications across different domains. The recent developments of science and technology, including neuroscience, computer science, cognitive science, nano-technologies and engineering design, among others, have provided significant new understandings and technological solutions to move the neural network research toward the development of complex, large-scale, and n- worked brain-like intelligent systems. This long-term goal can only be achieved with the continuous efforts of the community to seriously investigate different issues of the neural networks and related fields.