The fuzzy min-max neural network constitutes a neural architecture that is based on hyperbox fuzzy sets and can be incrementally trained by appropriately adjusting the number of hyperboxes and their corresponding volumes. Two versions have been proposed: for supervised and unsupervised learning. In
✦ LIBER ✦
Reinforcement Learning Using the Stochastic Fuzzy Min–Max Neural Network
✍ Scribed by Aristidis Likas
- Book ID
- 110300294
- Publisher
- Springer US
- Year
- 2001
- Tongue
- English
- Weight
- 74 KB
- Volume
- 13
- Category
- Article
- ISSN
- 1370-4621
No coin nor oath required. For personal study only.
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