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A theoretical framework for multiple neural network systems

Shields, MW and Casey, MC (2008) A theoretical framework for multiple neural network systems NEUROCOMPUTING, 71 (7-9). pp. 1462-1476.

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Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Computer Science
Authors : Shields, MW and Casey, MC
Date : 1 March 2008
DOI : 10.1016/j.neucom.2007.05.008
Uncontrolled Keywords : Science & Technology, Technology, Computer Science, Artificial Intelligence, Computer Science, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, multi-net systems, ensembles, multiple classifier systems, partially ordered sets, state transition systems, EM ALGORITHM, TASK DECOMPOSITION, CLASSIFIER SYSTEMS, GAUSSIAN MIXTURES, MODEL, ORGANIZATION, ARCHITECTURE, DIVERSITY, ENSEMBLES, EXPERTS
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Depositing User : Mr Adam Field
Date Deposited : 17 Jun 2011 10:07
Last Modified : 06 Jul 2019 05:08

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