Abstract
This paper presents a modular neural network with fuzzy integration of responses for face recognition. We describe its architecture and simulation results using the ORL database. We show results from different integrators, such as the Gating Network, fuzzy Sugeno integrals and type-1 fuzzy systems. We also show that the results with type-1 fuzzy systems are good, but we decided to optimize this fuzzy system with genetic algorithms (MFs parameters and fuzzy rules) to improve the results.
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Ayala, E., Lopez, M., Melin, P. (2009). Modular Neural Network with Fuzzy Integration of Responses for Face Recognition. In: Castillo, O., Pedrycz, W., Kacprzyk, J. (eds) Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control. Studies in Computational Intelligence, vol 257. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04514-1_8
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DOI: https://doi.org/10.1007/978-3-642-04514-1_8
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