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On the Computational Power of Max-Min Propagation Neural Networks

✍ Scribed by Pablo A. Estévez; Yoichi Okabe

Book ID
111602146
Publisher
Springer US
Year
2004
Tongue
English
Weight
192 KB
Volume
19
Category
Article
ISSN
1370-4621

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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