Neural Networks in Multidimensional Domains Fundamentals and New Trends in Modelling and Control /
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...
Κύριοι συγγραφείς: | , , , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
London :
Springer London : Imprint: Springer,
1998.
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Έκδοση: | 1st ed. 1998. |
Σειρά: | Lecture Notes in Control and Information Sciences,
234 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.