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Proposed Method

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Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSINTELL))

Abstract

This Chapter provides the proposed method for hierarchical modular granular neural networks with fuzzy aggregation and its application to different problems.

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References

  1. Gaxiola, F., Melin, P., Valdez, F., Castillo, O.: Neural network with Type-2 fuzzy weights adjustment for pattern recognition of the human Iris biometrics. MICAI (2) 259–270 (2012)

    Google Scholar 

  2. Melin, P., Sánchez, D., Castillo, O.: Genetic optimization of modular neural networks with fuzzy response integration for human recognition. Inf. Sci. 197, 1–19 (2012)

    Article  Google Scholar 

  3. Muñoz, R., Castillo, O., Melin, P.: Face, fingerprint and voice recognition with modular neural networks and fuzzy integration. Bio-inspired Hybrid Intell. Syst. Image Anal. Pattern Recogn. 69–79 (2009)

    Google Scholar 

  4. Vázquez, J.C., Lopez, M., Melin, P.: Real time face identification using a neural network approach. Soft Comput. Recogn. Based Biometrics 155–169 (2010)

    Google Scholar 

  5. Breiman, L.: Bagging predictors. Mach. Learn. 24, 123–140 (1996)

    MathSciNet  MATH  Google Scholar 

  6. Sutton, C.D.: Classification and regression trees, bagging, and boosting. Handbook of Statistics 24, 311–329 (2005)

    MathSciNet  Google Scholar 

  7. Man, K.F., Tang, K.S., Kwong, S.: Genetic Algorithms: Concepts and Designs. Springer (1999)

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Correspondence to Patricia Melin .

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Sanchez, D., Melin, P. (2016). Proposed Method. In: Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-319-28862-8_3

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  • DOI: https://doi.org/10.1007/978-3-319-28862-8_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28861-1

  • Online ISBN: 978-3-319-28862-8

  • eBook Packages: EngineeringEngineering (R0)

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