Supervised Learning with Complex-valued Neural Networks
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. ...
Wedi'i Gadw mewn:
| Prif Awduron: | , , |
|---|---|
| Fformat: | Livre numérique |
| Iaith: | Anglais |
| Cyhoeddwyd: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Rhifyn: | 1st ed. 2013. |
| Cyfres: | Studies in Computational Intelligence
421 |
| Mynediad Ar-lein: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nodyn: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Supervised Learning with Complex-valued Neural Networks, Texte imprimé, 9783642294907 |
Tabl Cynhwysion:
- 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)