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Titlebook: Neural Networks in Telecommunications; Ben Yuhas,Nirwan Ansari Book 1994 Springer Science+Business Media New York 1994 ATM.Routing.Switchi

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书目名称Neural Networks in Telecommunications
编辑Ben Yuhas,Nirwan Ansari
视频video
图书封面Titlebook: Neural Networks in Telecommunications;  Ben Yuhas,Nirwan Ansari Book 1994 Springer Science+Business Media New York 1994 ATM.Routing.Switchi
描述.Neural Networks in Telecommunications. consists of acarefully edited collection of chapters that provides an overview of awide range of telecommunications tasks being addressed with neuralnetworks. These tasks range from the design and control of theunderlying transport network to the filtering, interpretation andmanipulation of the transported media. The chapters focus on specificapplications, describe specific solutions and demonstrate the benefitsthat neural networks can provide. By doing this, the authorsdemonstrate that neural networks should be another tool in thetelecommunications engineer‘s toolbox. .Neural networks offer the computational power of nonlinear techniques,while providing a natural path to efficient massively-parallelhardware implementations. In addition, the ability of neural networksto learn allows them to be used on problems where straightforwardheuristic or rule-based solutions do not exist. Together thesecapabilities mean that neural networks offer unique solutions toproblems in telecommunications. .For engineers and managers in telecommunications,. Neural Networksin. .Telecommunications. provides a single point of access tothe work being done by leading
出版日期Book 1994
关键词ATM; Routing; Switching; artificial intelligence; communication; filter; information; switch
版次1
doihttps://doi.org/10.1007/978-1-4615-2734-3
isbn_softcover978-1-4613-6179-4
isbn_ebook978-1-4615-2734-3
copyrightSpringer Science+Business Media New York 1994
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Neural Network Applications in Character Recognition and Document Analysis,S mail pieces as an illustration of the character recognition / document analysis process. We will also describe other applications of the technology, including interpretation of faxed forms and bit-mapped text to ASCII conversion.
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A Neural Model for Adaptive Congestion Control in ATM Networks,rks. Nevertheless, the behavior of network dynamics in the presence of congestion and the proper ways of handling traffic in order to obtain more reliable and predictable performance is not yet sufficiently understood. The difficulty stems mainly from the uncertainties about traffic patterns and the time-varying nature of network conditions.
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Cellular Mobile Communication Design Using Self-Organizing Feature Maps, this market will be one of the most expanding branches of telecommunication technologies. The design of a mobile radio communication system not only concerns the geographical planning but also the optimal usage of the frequency spectrum and moreover juridical questions.
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