Neural Networks in Multidimensional Domains Fundamentals and New Trends in Modelling and Control /

In this monograph, new structures of neural networks in multidimensional domains are introduced. These architectures are a generalization of the Multi-layer Perceptron (MLP) in Complex, Vectorial and Hypercomplex algebra. The approximation capabilities of these networks and their learning algorithms...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Arena, Paolo (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Fortuna, Luigi (http://id.loc.gov/vocabulary/relators/aut), Muscato, Giovanni (http://id.loc.gov/vocabulary/relators/aut), Xibilia, Maria Gabriella (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: London : Springer London : Imprint: Springer, 1998.
Έκδοση:1st ed. 1998.
Σειρά:Lecture Notes in Control and Information Sciences, 234
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • to MLP neural networks
  • Neural networks in complex algebra
  • Vectorial neural networks
  • Quaternion algebra
  • MLP in quaternion algebra
  • Chaotic time series prediction with CMLP and HMLP
  • Applications of quaternions in robotics.