Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications

This book comprises papers on diverse aspects of fuzzy logic, neural networks, and nature-inspired optimization meta-heuristics and their application in various areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Castillo, Oscar (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Melin, Patricia (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Kacprzyk, Janusz (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Studies in Computational Intelligence, 749
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.