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Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications
ISBN: 9783319710082ISSN: 1860-949X ;Published: Cham : Springer International Publishing, 2018.Table of Contents: “…Part I: Type-2 Fuzzy Logic in Metaheuristics -- A comparative study of dynamic adaptation of parameters in the GWO algorithm using type-1 and interval type-2 fuzzy logic -- Ensemble Neural Network optimization using a gravitational search algorithm with Interval Type-1 and Type-2 fuzzy parameter adaptation in pattern recognition applications -- Improved method based on type-2 fuzzy logic for the adaptive harmony search algorithm -- Comparison of bio-inspired methods with parameter adaptation through interval type-2 fuzzy logic -- Differential Evolution algorithm with Interval type-2 fuzzy logic for the optimization of the mutation parameter -- Part II: Neural Networks Theory and Applications -- Person recognition with modular deep neural network using the iris biometric measure -- Neuro-evolutionary Neural Network for the Estimation of Melting Point of Ionic Liquids -- A proposal to classify ways of walking patterns using spik-ing neural networks -- Partially-connected Artificial Neural Networks developed by Grammatical Evolution for pattern recognition problems -- Part III: Metaheuristics: Theory and Applications -- Bio-inspired Metaheuristics for Hyper-parameter Tuning of Support Vector Machine Classifiers.…”
Electronic eBook

