Non-Fiction Books:

Recurrent Neural Networks for Prediction

Learning Algorithms, Architectures and Stability
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$639.00
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Description

Neural networks consist of interconnected groups of neurones which function as processing units. Through the application of neural networks, the capabilities of conventional digital signal processing techniques can be significantly enhanced to meet the demands of new technologies such as mobile communications, robotics and medical instrumentation.

Author Biography:

Danilo Mandic from the Imperial College London, London, UK was named Fellow of the Institute of Electrical and Electronics Engineers in 2013 for contributions to multivariate and nonlinear learning systems. Jonathon A. Chambers is the author of Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability, published by Wiley.
Release date NZ
August 6th, 2001
Audiences
  • Postgraduate, Research & Scholarly
  • Professional & Vocational
  • Undergraduate
Pages
304
Dimensions
174x247x23
ISBN-13
9780471495178
Product ID
3087734

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