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...
| Main Authors: | , , , |
|---|---|
| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
London :
Springer London : Imprint: Springer,
1998.
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| Edition: | 1st ed. 1998. |
| Series: | Lecture Notes in Control and Information Sciences,
234 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
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.