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Multiobjective Hybrid Optimization and Training of Recurrent Neural Networks

โœ Scribed by Delgado, M.; Cuellar, M.P.; Pegalajar, M.C.


Book ID
117938786
Publisher
IEEE
Year
2008
Tongue
English
Weight
633 KB
Volume
38
Category
Article
ISSN
1083-4419

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Hybrid interior point training of modula
โœ Peter T. Szymanski; Michael Lemmon; Christopher J. Bett ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 571 KB

Modular neural networks use a single gating neuron to select the outputs of a collection of agent neurons. Expectation-maximization (EM) algorithms provide one way of training modular neural networks to approximate non-linear functionals. This paper introduces a hybrid interior-point (HIP) algorithm