Speeding Up Backpropagation Using Multiobjective Evolutionary Algorithms

DOI10.1162/089976603322385126zbMath1085.68608OpenAlexW2161205534WikidataQ51807784 ScholiaQ51807784MaRDI QIDQ4813884

Hussein A. Abbass

Publication date: 7 September 2004

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/089976603322385126

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (6)

Ensemble learning using multi-objective evolutionary algorithms ⋮ Neural network ensembles: Immune-inspired approaches to the diversity of components ⋮ Preference disaggregation and statistical learning for multicriteria decision support: A review ⋮ Learning what we don't care about: anti-training with sacrificial functions ⋮ Some improvement to the mutation donor of differential evolution ⋮ Application of Multiobjective Optimization Techniques in Biomedical Image Segmentation—A Study

Uses Software

• PAES

Cites Work

• Unnamed Item
• Towards designing artificial neural networks by evolution
• C-Net: a method for generating non-deterministic and dynamic multivariate decision trees
• Multisurface method of pattern separation for medical diagnosis applied to breast cytology.

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