A theoretical framework for multiple neural network systems

MW Shields; MC Casey

doi:10.1016/j.neucom.2007.05.008

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A theoretical framework for multiple neural network systems

Journal article

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A theoretical framework for multiple neural network systems

MW Shields and MC Casey

NEUROCOMPUTING, Vol.71(7-9), pp.1462-1476

01/03/2008

DOI: https://doi.org/10.1016/j.neucom.2007.05.008

Abstract

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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Title: A theoretical framework for multiple neural network systems
Creators: MW Shields
MC Casey
Publication Details: NEUROCOMPUTING, Vol.71(7-9), pp.1462-1476
Publisher: ELSEVIER SCIENCE BV
Date published: 01/03/2008
Date submitted: 14/06/2011
Identifiers: 99514702402346
Academic Unit: Department of Computer Science
Language: English
Resource Type: Journal article

A theoretical framework for multiple neural network systems

Abstract

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