Abstract
This paper introduces on architecture of a modular neural network (MNN) for pattern recognition, more recently, the addition of modular neural network techniques theory have been receiving significant attention. The design of a recognition system requires careful. The paper also aims to use the architecture of this Modular Neural Network for pattern recognition in order to optimize the architecture, and used an integrator that will get a good percentage of image identification and in the shortest time possible.
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Zavala-Arriaza, M.L., Valdez, F., Melin, P. (2013). Architecture of Modular Neural Network in Pattern Recognition. In: Castillo, O., Melin, P., Kacprzyk, J. (eds) Recent Advances on Hybrid Intelligent Systems. Studies in Computational Intelligence, vol 451. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33021-6_17
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DOI: https://doi.org/10.1007/978-3-642-33021-6_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33020-9
Online ISBN: 978-3-642-33021-6
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