Neural network ensembles: Immune-inspired approaches to the diversity of components

DOI10.1007/s11047-009-9124-1zbMath1205.68309OpenAlexW2040008923WikidataQ57735661 ScholiaQ57735661MaRDI QIDQ601022

Rodrigo Pasti, Leandro Nunes De Castro, Fernando José Von Zuben, Guilherme Palermo Coelho

Publication date: 3 November 2010

Published in: Natural Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11047-009-9124-1

zbMATH Keywords

multi-objective optimizationmulti-layer perceptronsartificial immune systemsdiversity of componentsensembles of classifiers

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• UCI-ml
• Omni-optimizer

Cites Work

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• Bagging predictors
• Ensemble learning using multi-objective evolutionary algorithms
• Ensembling neural networks: Many could be better than all
• Speeding Up Backpropagation Using Multiobjective Evolutionary Algorithms
• AI 2003: Advances in Artificial Intelligence
• Evolutionary Multi-Criterion Optimization
• Introduction to evolutionary computing

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