In this article, we discuss the learning of chaotic dynamics by using a normalized Gaussian network (NGnet). The NGnet is trained by an on-line EM algorithm in order to learn the vector field of the chaotic dynamics. We also investigate the robustness of our approach to two kinds of noise processes:
✦ LIBER ✦
On-line learning with malicious noise and the closure algorithm
✍ Scribed by Peter Auer; Nicolò Cesa-Bianchi
- Book ID
- 110380136
- Publisher
- Springer Netherlands
- Year
- 1998
- Tongue
- English
- Weight
- 138 KB
- Volume
- 23
- Category
- Article
- ISSN
- 1012-2443
No coin nor oath required. For personal study only.
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