Evolutionary Algorithms and Neural Networks Theory and Applications /

This book introduces readers to the fundamentals of artificial neural networks, with a special emphasis on evolutionary algorithms. At first, the book offers a literature review of several well-regarded evolutionary algorithms, including particle swarm and ant colony optimization, genetic algorithms...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Mirjalili, Seyedali (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:Studies in Computational Intelligence, 780
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Part I: Evolutionary algorithms
  • Introduction to Evolutionary Single-objective Optimisation
  • Particle Swarm Optimisation
  • Ant Colony Optimization
  • Genetic Algorithm
  • Biogeography-Based Optimization
  • Part II: Evolutionary Neural Networks
  • Evolutionary Feedforward Neural Networks
  • Evolutionary Multi-Layer Perceptron
  • Evolutionary Radial Basis Function Networks
  • Evolutionary Deep Neural Networks.