A fuzzy hybrid learning algorithm for radial basis function neural network with application in human face recognition

DOI10.1016/S0031-3203(02)00231-5zbMath1028.68119OpenAlexW2043364632MaRDI QIDQ1402684

Majid Ahmadi, Karim Faez, Javad Haddadnia

Publication date: 28 August 2003

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0031-3203(02)00231-5

zbMATH Keywords

Learning algorithmFuzzy systemFace recognitionRBF neural network (RBFNN)

Mathematics Subject Classification ID

Nonnumerical algorithms (68W05) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

On training RBF neural networks using input-output fuzzy clustering and particle swarm optimization ⋮ Face recognition using Krawtchouk moment

Cites Work

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• Convergence properties of the generalized fuzzy c-means clustering algorithms
• Face Detection: A Survey
• A new cluster validity index for the fuzzy c-mean
• Why recognition in a statistics-based face recognition system should be based on the pure face portion: A probabilistic decision-based proof
• Optimal design of radial basis function neural networks for fuzzy-rule extraction in high dimensional data

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