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Hierarchical Genetic Algorithm for Type-2 fuzzy Integration applied to Human Recognition

Abstract:

In this paper a new model of a Hierarchical Genetic Algorithm (HGA) for fuzzy inference system optimization is proposed. The proposed HGA optimizes the fuzzy integrators architecture (type of system, number of trapezoidal membership functions, and their parameters). The model was applied to pattern recognition based on the iris, ear and voice biometrics. Fuzzy logic is used as a method for modular neural networks (MNNs) response integration.

Año de publicación:

2013

Keywords:

    Fuente:

    googlegoogle

    Tipo de documento:

    Other

    Estado:

    Acceso abierto

    Áreas de conocimiento:

    • Inteligencia artificial
    • Lógica difusa

    Áreas temáticas:

    • Ciencias de la computación
    • Métodos informáticos especiales
    • Psicología aplicada

    Contribuidores:

    Daniela Estefanía Sánchez-RodríguezDaniela Estefanía Sánchez-Rodríguez