Abstract
In this paper we describe a new evolutionary method to perform the optimization of a modular neural network applied to the case of multimodal biometry. Integration of responses in the modular neural network is performed using type-1 and type-2 fuzzy inference systems.
The proposed evolutionary method produces the best architecture of the modular neural network.
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Hidalgo, D., Melin, P., Licea, G. (2009). Optimization of Modular Neural Networks with Interval Type-2 Fuzzy Logic Integration Using an Evolutionary Method with Application to Multimodal Biometry. In: Melin, P., Kacprzyk, J., Pedrycz, W. (eds) Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition. Studies in Computational Intelligence, vol 256. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04516-5_7
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DOI: https://doi.org/10.1007/978-3-642-04516-5_7
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