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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). 1462 - 1476. ISSN 0925-2312

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Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Computing Science
Authors :
AuthorsEmail
Shields, MWUNSPECIFIED
Casey, MCUNSPECIFIED
Date : 1 March 2008
Identification Number : 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
Related URLs :
Depositing User : Mr Adam Field
Date Deposited : 17 Jun 2011 10:07
Last Modified : 17 Jan 2015 14:49
URI: http://epubs.surrey.ac.uk/id/eprint/3027

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