LIBROS DEL AUTOR: fevrier valdez

5 resultados para LIBROS DEL AUTOR: fevrier valdez

fevrier valdez Eliminar filtro Quitar filtros
  • General Type-2 Fuzzy Logic in Dynamic Parameter Adaptation for the Harmony Search Algorithm
    Cinthia Peraza / Fevrier Valdez / Oscar Castillo
    This book focuses on the fields of fuzzy logic and metaheuristic algorithms, particularly the harmony search algorithm and fuzzy control. There are currently several types of metaheuristics used to solve a range of real-world of problems, and these metaheuristics contain parameters that are usually fixed throughout the iterations. However, a number of techniques are also availa...
    Disponible

    48,47 €

  • General Type-2 Fuzzy Logic in Dynamic Parameter Adaptation for the Harmony Search Algorithm
    Cinthia Peraza / Fevrier Valdez / Oscar Castillo
    This book focuses on the fields of fuzzy logic and metaheuristic algorithms, particularly the harmony search algorithm and fuzzy control. There are currently several types of metaheuristics used to solve a range of real-world of problems, and these metaheuristics contain parameters that are usually fixed throughout the iterations. However, a number of techniques are also availa...
    Disponible

    67,97 €

  • A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature
    Camilo Caraveo / Fevrier Valdez / Oscar Castillo
    This book presents a new meta-heuristic algorithm, inspired by the self-defense mechanisms of plants in nature. Numerous published works have demonstrated the various self-defense mechanisms (survival strategies) plants use to protect themselves against predatory organisms, such as herbivorous insects. The proposed algorithm is based on the predator-prey mathematical model orig...
    Disponible

    67,89 €

  • Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic
    Fevrier Valdez / Frumen Olivas / Oscar Castillo
    In this book, a methodology for parameter adaptation in meta-heuristic op-timization methods is proposed. This methodology is based on using met-rics about the population of the meta-heuristic methods, to decide through a fuzzy inference system the best parameter values that were carefully se-lected to be adjusted. With this modification of parameters we want to find a better m...
    Disponible

    67,11 €

  • New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks
    Fernando Gaxiola / Fevrier Valdez / Patricia Melin
    In this book a neural network learning method with type-2 fuzzy weight adjustment is proposed. The mathematical analysis of the proposed learning method architecture and the adaptation of type-2 fuzzy weights are presented. The proposed method is based on research of recent methods that handle weight adaptation and especially fuzzy weights.The internal operation of the neuron i...
    Disponible

    67,13 €