Neural Network Architecture for Synthesi
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Dominik; Jakub Wróblewski; Marcin Szczuka
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Article
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2003
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Elsevier Science
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English
⚖ 707 KB
We introduce a novel neural network architecture, referred to as the normalizing neural network (NNN), where the propagated signals take the form of finite probability distributions. Appropriately tuned NNN can be applied as the compound voting measure while classifying new cases on the basis of app