Product details:
| ISBN13: | 9781852330064 |
| ISBN10: | 1852330066 |
| Binding: | Paperback |
| No. of pages: | 169 pages |
| Size: | 235x155 mm |
| Weight: | 300 g |
| Language: | English |
| Illustrations: | 7 Illustrations, black & white |
| 0 |
Category:
Neural Networks in Multidimensional Domains
Fundamentals and New Trends in Modelling and Control
Edition number: 1st Edition.
Publisher: Springer
Date of Publication: 28 April 1998
Number of Volumes: 1 pieces, Book
Normal price:
Publisher's listprice:
EUR 53.49
EUR 53.49
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21 391 (20 372 HUF + 5% VAT )
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
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Long description:
In this monograph, new structures of neural networks in multidimensional domains are introduced. These architectures are a generalization of the Multi-layer Perceptron (MLP) in Complex, Vectorial and Hypercomplex algebra. The approximation capabilities of these networks and their learning algorithms are discussed in a multidimensional context. The work includes the theoretical basis to address the properties of such structures and the advantages introduced in system modelling, function approximation and control. Some applications, referring to attractive themes in system engineering and a MATLAB software tool, are also reported. The appropriate background for this text is a knowledge of neural networks fundamentals. The manuscript is intended as a research report, but a great effort has been performed to make the subject comprehensible to graduate students in computer engineering, control engineering, computer sciences and related disciplines.
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Table of Contents:
to MLP neural networks.- Neural networks in complex algebra.- Vectorial neural networks.- Quaternion algebra.- MLP in quaternion algebra.- Chaotic time series prediction with CMLP and HMLP.- Applications of quaternions in robotics.
