Advances in Hybridization of Intelligent Methods Models, Systems and Applications /

This book presents recent research on the hybridization of intelligent methods, which refers to combining methods to solve complex problems. It discusses hybrid approaches covering different areas of intelligent methods and technologies, such as neural networks, swarm intelligence, machine learning,...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Hatzilygeroudis, Ioannis (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Palade, Vasile (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:Smart Innovation, Systems and Technologies, 85
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Deep Learning Approaches for Facial Emotion Recognition: A Case Study on FER-2013
  • Analysis of Biologically Inspired Swarm Communication Models
  • Target-Dependent Sentiment Analysis of Tweets using Bi-directional Gated Recurrent Neural Networks
  • Traffic Modelling, Visualisation and Prediction for Urban Mobility Management
  • Assurance in Reinforcement Learning Using Quantitative Verification
  • Distillation of Deep Learning Ensembles as a Regularisation method
  • Heuristic Constraint Answer Set Programming for Manufacturing Problems.