Further results on controllability of recurrent neural networks
β Scribed by E.D. Sontag; Y. Qiao
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 134 KB
- Volume
- 36
- Category
- Article
- ISSN
- 0167-6911
No coin nor oath required. For personal study only.
β¦ Synopsis
This paper studies controllability properties of recurrent neural networks. The new contributions are: (1) an extension of a previous result to a slightly di erent model, (2) a formulation and proof of a necessary and su cient condition, and (3) an analysis of a low-dimensional case for which the hypotheses made in previous work do not apply.
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