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Nonextensive statistical mechanics for hybrid learning of neural networks

โœ Scribed by Aristoklis D. Anastasiadis; George D. Magoulas


Publisher
Elsevier Science
Year
2004
Tongue
English
Weight
259 KB
Volume
344
Category
Article
ISSN
0378-4371

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Fast training of feed-forward neural networks became increasingly important as the neural network field moves toward maturity. This paper begins with a review of various criteria proposed for training feed-forward neural networks, which include the frequently used quadratic error criterion, the rela