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,...

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Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Hatzilygeroudis, Ioannis (Editör), Palade, Vasile (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2018.
Imprint: Springer,
Edisyon:1st ed. 2018.
Seri Bilgileri:Smart Innovation, Systems and Technologies, 85
Konular:
Computational intelligence.
Artificial intelligence.
Neural networks (Computer science) .
Signal processing.
Computational Intelligence.
Artificial Intelligence.
Mathematical Models of Cognitive Processes and Neural Networks.
Signal, Speech and Image Processing.
Online Erişim:Full-text access
İçindekiler:
  • 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.

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