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Item Details
| Title:
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NEURAL NETWORKS IN MULTIDIMENSIONAL DOMAINS
FUNDAMENTALS AND NEW TRENDS IN MODELLING AND CONTROL |
| By: |
Paolo Arena, Luigi Fortuna, Giovanni Muscato |
| Format: |
Paperback |
| List price:
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£76.50 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
1852330066 |
| ISBN 13: |
9781852330064 |
| Publisher: |
SPRINGER LONDON LTD |
| Pub. date: |
28 April, 1998 |
| Edition: |
Edition. ed. |
| Series: |
Lecture Notes in Control and Information Sciences 234 |
| Pages: |
169 |
| Synopsis: |
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. |
| Illustrations: |
7 Illustrations, black and white; XIV, 169 p. 7 illus. |
| Publication: |
UK |
| Imprint: |
Springer London Ltd |
| Returns: |
Returnable |
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