Blind Equalization in Neural Networks (PDF)
The book begins with an introduction of blind equalization theory and its application in neural networks, then discusses the algorithms in recurrent networks, fuzzy networks and other frequently-studied neural networks. Each algorithm is accompanied by...
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
The book begins with an introduction of blind equalization theory and its application in neural networks, then discusses the algorithms in recurrent networks, fuzzy networks and other frequently-studied neural networks. Each algorithm is accompanied by derivation, modeling and simulation, making the book an essential reference for electrical engineers, computer intelligence researchers and neural scientists.
- Autor: Liyi Zhang
- 2017, 1. Auflage, 268 Seiten, Englisch
- Verlag: Walter de Gruyter
- ISBN-10: 3110450291
- ISBN-13: 9783110450293
- Erscheinungsdatum: 18.12.2017
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 3.67 MB
- Ohne Kopierschutz
Schreiben Sie einen Kommentar zu "Blind Equalization in Neural Networks".
Kommentar verfassen