Predictive Abilities of Bayesian Regularization and Levenberg–Marquardt Algorithms in Artificial Neural Networks: A Comparative Empirical Study on Social Data

The objective of this study is to compare the predictive ability of Bayesian regularization with Levenberg–Marquardt Artificial Neural Networks. To examine the best architecture of neural networks, the model was tested with one-, two-, three-, four-, and five-neuron architectures, respectively. MATL...

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Bibliographic Details

Published in:	Mathematical and computational applications Vol. 21; no. 2; p. 20
Main Author:	Kayri, Murat
Format:	Journal Article
Language:	English
Published:	24.05.2016
ISSN:	2297-8747, 2297-8747
Online Access:	Get full text
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