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Constructive training of recurrent neural networks using hybrid optimization

โœ Scribed by Niranjan Subrahmanya; Yung C. Shin


Book ID
113816554
Publisher
Elsevier Science
Year
2010
Tongue
English
Weight
1010 KB
Volume
73
Category
Article
ISSN
0925-2312

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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