The way of propagating and control of stochastic signals through Universal Learning Networks (ULNs) and its applications are proposed. ULNs have been already developed to form a superset of neural networks and have been applied as a universal framework for modeling and control of non-linear large-sc
Evaluation of robust control by universal learning networks
โ Scribed by Masanao Ohbayashi; Kotaro Hirasawa; Junichi Murata
- Publisher
- Springer Japan
- Year
- 1997
- Tongue
- English
- Weight
- 431 KB
- Volume
- 1
- Category
- Article
- ISSN
- 1433-5298
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