Supervised Learning with Complex-valued Neural Networks

• Κύριοι συγγραφείς: Suresh, Sundaram (Συγγραφέας), Sundararajan, Narasimhan (Συγγραφέας), Savitha, Ramasamy (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Σειρά: Studies in Computational Intelligence, 421
• Θέματα: Engineering.; Computational intelligence.; Computational Intelligence.; Signal, Image and Speech Processing.

Recent advancements in the field of telecommunications, medical imaging and signal processing deal with signals that are inherently time varying, nonlinear and complex-valued. The time varying, nonlinear characteristics of these signals can be effectively analyzed using artificial neural networks. ...

Πίνακας περιεχομένων:

• Introduction
• Fully Complex-valued Multi Layer Perceptron Networks
• Fully Complex-valued Radial Basis Function Networks
• Performance Study on Complex-valued Function Approximation Problems
• Circular Complex-valued Extreme Learning Machine Classifier
• Performance Study on Real-valued Classification Problems
• Complex-valued Self-regulatory Resource Allocation Network
• Conclusions and Scope for FutureWorks (CSRAN).