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Comprehensive Chemometrics || Feed-Forward Neural Networks

โœ Scribed by Lavine, B.K.


Book ID
120311017
Publisher
Elsevier
Year
2009
Weight
401 KB
Category
Article
ISBN
044452701X

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Invariance priors for Bayesian feed-forw
โœ Udo v. Toussaint; Silvio Gori; Volker Dose ๐Ÿ“‚ Article ๐Ÿ“… 2006 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 1001 KB

Neural networks (NN) are famous for their advantageous flexibility for problems when there is insufficient knowledge to set up a proper model. On the other hand, this flexibility can cause overfitting and can hamper the generalization of neural networks. Many approaches to regularizing NN have been