Logo - springer
Slogan - springer

Computer Science - Artificial Intelligence | Neural Networks in Telecommunications

Neural Networks in Telecommunications

Yuhas, Ben, Ansari, Nirwan (Eds.)

1994, XIV, 369 p.

Available Formats:
eBook
Information

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.

 
$209.00

(net) price for USA

ISBN 978-1-4615-2734-3

digitally watermarked, no DRM

Included Format: PDF

download immediately after purchase


learn more about Springer eBooks

add to marked items

Hardcover
Information

Hardcover version

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.

 
$264.00

(net) price for USA

ISBN 978-0-7923-9417-4

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days


add to marked items

Softcover
Information

Softcover (also known as softback) version.

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.

 
$264.00

(net) price for USA

ISBN 978-1-4613-6179-4

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days


add to marked items

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.

Content Level » Research

Keywords » ATM - Routing - Switching - artificial intelligence - communication - filter - information - switch

Related subjects » Artificial Intelligence - Communication Networks - Complexity - Electronics & Electrical Engineering - Signals & Communication

Table of contents 

1. Introduction; B. Yuhas, N. Ansari. 2. Neural Networks for Switching; T.X. Brown. 3. Routing in Random Multistage Interconnection Networks; M.W. Goudreau, C.L. Giles. 4. ATM Traffic Control Using Neural Networks; A. Hiramatsu. 5. Learning from Rare Events: Dynamic Cell Scheduling for ATM Networks; D.B. Schwartz. 6. A Neural Model for Adaptive Congestion Control in ATM Networks; Xiaoqiang Chen. 7. Structure and Performance of Neural Nets in Broadband System Admission Control; Phuoc Tran-Gia, O. Gropp. 8. Neural Network Channel Equalization; W.R. Kirkland, D.P. Taylor. 9. Neural Networks as Excisers for Spread Spectrum Communication Systems; R. Bijjani, P.K. Das. 10. Static and Dynamic Channel Assignment Using Simulated Annealing; M. Duque-Antón, D. Kunz, B. Rüber. 11. Cellular Mobile Communication Design Using Self-Organizing Feature Maps; T. Fritsch. 12. Automatic Language Identification Using Telephone Speech; Y.K. Muthusamy, R.A. Cole. 13. Text-Independent Talker Verification Using Cohort Normalized Scores; D.J. Burr. 14. Neural Network Applications in Character Recognition and Document Analysis; L.D. Jackel, et al. 15. Image Vector Quantization by Neural Networks; R. Lancini. 16. Managing the Infoglut: Information Filtering Using Neural Networks; T. John. 17. Empirical Comparisons of Neural Networks and Statistical Methods for Classification and Regression; D. Duffy, B. Yuhas, A. Jain, A. Buja. 18. A Neurocomputing Approach to Optimizingthe Performance of a Satellite Communication Network; N. Ansari. Index.

Popular Content within this publication 

 

Articles

Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Artificial Intelligence (incl. Robotics).