Neural Networks In Telecommunications
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Neural Networks In Telecommunications
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Author : Ben Yuhas
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Neural Networks In Telecommunications written by Ben Yuhas and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Neural Networks in Telecommunications consists of a carefully edited collection of chapters that provides an overview of a wide range of telecommunications tasks being addressed with neural networks. These tasks range from the design and control of the underlying transport network to the filtering, interpretation and manipulation of the transported media. The chapters focus on specific applications, describe specific solutions and demonstrate the benefits that neural networks can provide. By doing this, the authors demonstrate that neural networks should be another tool in the telecommunications engineer's toolbox. Neural networks offer the computational power of nonlinear techniques, while providing a natural path to efficient massively-parallel hardware implementations. In addition, the ability of neural networks to learn allows them to be used on problems where straightforward heuristic or rule-based solutions do not exist. Together these capabilities mean that neural networks offer unique solutions to problems in telecommunications. For engineers and managers in telecommunications, Neural Networks in Telecommunications provides a single point of access to the work being done by leading researchers in this field, and furnishes an in-depth description of neural network applications.
Proceedings Of The International Workshop On Applications Of Neural Networks To Telecommunications 3
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Author : Joshua Alspector
language : en
Publisher: Psychology Press
Release Date : 1997
Proceedings Of The International Workshop On Applications Of Neural Networks To Telecommunications 3 written by Joshua Alspector and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.
Recently, the telecommunications industry has been exposed to many changes in technology. AT&T is currently experiencing its second divestiture. The internet has grown explosively with enormous numbers of people subscribing to providers such as America On Line. Microsoft, Netscape, and other computer-oriented companies are competing furiously for customers in the on-line world. Customers are having service problems because the network and providers cannot keep up with the ever-growing demand for service. Selling on the internet is ubiquitous with every company and with many individuals having a home page. Anecdotal evidence, however, suggests that almost nobody is making a profit from the growth of the internet. The papers in this collection reflect these changes. They were presented at a meeting of the International Workshop on the Application of Neural Networks to Communications (IWANNT*97). Discussing a wide variety of intelligent system applications, the major theme of the articles is networking, especially the use of ATM technology and the modeling of the resulting traffic. Recurring themes in this conference are routing and resource allocation in all types of communications networks. The collection also contains papers on fault detection, diagnosis, correction, coding and equalization, customer profiling, and pattern recognition.
Neural Networks In Telecommunications
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Author : Nirwan Ansari
language : en
Publisher: Allied Publishers
Release Date :
Neural Networks In Telecommunications written by Nirwan Ansari and has been published by Allied Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Neural Networks In A Softcomputing Framework
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Author : Ke-Lin Du
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-08-02
Neural Networks In A Softcomputing Framework written by Ke-Lin Du and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-08-02 with Computers categories.
Conventional model-based data processing methods are computationally expensive and require experts’ knowledge for the modelling of a system. Neural networks are a model-free, adaptive, parallel-processing solution. This textbook provides a powerful and universal paradigm for information processing; it reviews the most popular neural-network methods and their associated techniques. Each chapter has a systematic survey of each neural-network model. Computational intelligence topics like fuzzy logic and genetic algorithms (tools for neural-network learning) are introduced. Array signal processing problems are used to show the applications of each model. This is an ideal textbook for graduate students and researchers; as well as introducing the basics, the exhaustive list of references included will aid their future research. It is also a valuable reference for scientists and practitioners working in pattern recognition, signal processing, speech and image processing, data analysis and A.I.
Computational Intelligence In Telecommunications Networks
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Author : Witold Pedrycz
language : en
Publisher: CRC Press
Release Date : 2018-10-03
Computational Intelligence In Telecommunications Networks written by Witold Pedrycz and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-03 with Technology & Engineering categories.
Telecommunications has evolved and grown at an explosive rate in recent years and will undoubtedly continue to do so. As its functions, applications, and technology grow, it becomes increasingly complex and difficult, if not impossible, to meet the demands of a global network using conventional computing technologies. Computational intelligence (CI) is the technology of the future-and the future is now. Computational Intelligence in Telecommunications Networks offers an in-depth look at the rapid progress of CI technology and shows its importance in solving the crucial problems of future telecommunications networks. It covers a broad range of topics, from Call Admission Control, congestion control, and QoS-routing for ATM networks, to network design and management, optical, mobile, and active networks, and Intelligent Mobile Agents. Today's telecommunications professionals need a working knowledge of CI to exploit its potential to overcome emerging challenges. The CI community must become acquainted with those challenges to take advantage of the enormous opportunities the telecommunications field offers. This text meets both those needs, clearly, concisely, and with a depth certain to inspire further theoretical and practical advances.
Soft Computing For Biomedical Applications And Related Topics
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Author : Vladik Kreinovich
language : en
Publisher: Springer Nature
Release Date : 2020-06-29
Soft Computing For Biomedical Applications And Related Topics written by Vladik Kreinovich and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-29 with Technology & Engineering categories.
This book presents innovative intelligent techniques, with an emphasis on their biomedical applications. Although many medical doctors are willing to share their knowledge – e.g. by incorporating it in computer-based advisory systems that can benefit other doctors – this knowledge is often expressed using imprecise (fuzzy) words from natural language such as “small,” which are difficult for computers to process. Accordingly, we need fuzzy techniques to handle such words. It is also desirable to extract general recommendations from the records of medical doctors’ decisions – by using machine learning techniques such as neural networks. The book describes state-of-the-art fuzzy, neural, and other techniques, especially those that are now being used, or potentially could be used, in biomedical applications. Accordingly, it will benefit all researchers and students interested in the latest developments, as well as practitioners who want to learn about new techniques.
Machine Learning For Future Wireless Communications
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Author : Fa-Long Luo
language : en
Publisher: John Wiley & Sons
Release Date : 2020-02-10
Machine Learning For Future Wireless Communications written by Fa-Long Luo and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-10 with Technology & Engineering categories.
A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research and industry communities. Deep neural networks-based machine learning technology is a promising tool to attack the big challenge in wireless communications and networks imposed by the increasing demands in terms of capacity, coverage, latency, efficiency flexibility, compatibility, quality of experience and silicon convergence. The author – a noted expert on the topic – covers a wide range of topics including system architecture and optimization, physical-layer and cross-layer processing, air interface and protocol design, beamforming and antenna configuration, network coding and slicing, cell acquisition and handover, scheduling and rate adaption, radio access control, smart proactive caching and adaptive resource allocations. Uniquely organized into three categories: Spectrum Intelligence, Transmission Intelligence and Network Intelligence, this important resource: Offers a comprehensive review of the theory, applications and current developments of machine learning for wireless communications and networks Covers a range of topics from architecture and optimization to adaptive resource allocations Reviews state-of-the-art machine learning based solutions for network coverage Includes an overview of the applications of machine learning algorithms in future wireless networks Explores flexible backhaul and front-haul, cross-layer optimization and coding, full-duplex radio, digital front-end (DFE) and radio-frequency (RF) processing Written for professional engineers, researchers, scientists, manufacturers, network operators, software developers and graduate students, Machine Learning for Future Wireless Communications presents in 21 chapters a comprehensive review of the topic authored by an expert in the field.
The Froehlich Kent Encyclopedia Of Telecommunications
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Author : Fritz E. Froehlich
language : en
Publisher: CRC Press
Release Date : 2021-06-30
The Froehlich Kent Encyclopedia Of Telecommunications written by Fritz E. Froehlich and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-30 with Computers categories.
This article reviews network-management problems, technologies and standards, outlining the problems and challenges of the field. It overviews the functions and architectures, of various components of network-management systems (NMSs), describing key network-management application areas.
Neural Network Design
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Author : Martin T. Hagan
language : en
Publisher:
Release Date : 2003
Neural Network Design written by Martin T. Hagan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Neural networks (Computer science) categories.
Neuro Fuzzy And Fuzzy Neural Applications In Telecommunications
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Author : Peter Stavroulakis
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Neuro Fuzzy And Fuzzy Neural Applications In Telecommunications written by Peter Stavroulakis and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.
Neurofuzzy and fuzzyneural techniques as tools of studying and analyzing complex problems are relatively new even though neural networks and fuzzy logic systems have been applied as computational intelligence structural e- ments for the last 40 years. Computational intelligence as an independent sci- tific field has grown over the years because of the development of these str- tural elements. Neural networks have been revived since 1982 after the seminal work of J. J. Hopfield and fuzzy sets have found a variety of applications since the pub- cation of the work of Lotfi Zadeh back in 1965. Artificial neural networks (ANN) have a large number of highly interconnected processing elements that usually operate in parallel and are configured in regular architectures. The c- lective behavior of an ANN, like a human brain, demonstrates the ability to learn,recall,and generalize from training patterns or data. The performance of neural networks depends on the computational function of the neurons in the network,the structure and topology of the network,and the learning rule or the update rule of the connecting weights. This concept of trainable neural n- works further strengthens the idea of utilizing the learning ability of neural networks to learn the fuzzy control rules,the membership functions and other parameters of a fuzzy logic control or decision systems,as we will explain later on,and this becomes the advantage of using a neural based fuzzy logic system in our analysis. On the other hand,fuzzy systems are structured numerical estimators.