Udvidet returret til 31. januar 2017

Du er her:
Bog, hardback Principal Component Analysis Networks and Algorithms af Xiangyu Kong

Principal Component Analysis Networks and Algorithms

(Bog, hardback)

45 black & white illustrations, 41 colour illustrations, biography

45 black & white illustrations, 41 colour illustrations, biography

Produktdetaljer:

Sprog:
Engelsk
ISBN-13:
9789811029134
Udgivet:
13-12-2016
Udgave:
1st ed. 2017
Vis mere

Sæt bog på liste

  • Bogliste

 
kr. 1.429,95
Forventes udgivet
13-12-2016
Leveringstid
Kan forudbestilles
Leveres senest
23-12-2016
-32%

kr. 962,13
Din studiepris
Fragt
Gratis



Forlagets beskrivelse
45 black & white illustrations, 41 colour illustrations, biography
Bibliotekernes beskrivelse
This book not only provides a comprehensive introduction to neural-based PCA methods in control science, but also presents many novel PCA algorithms and their extensions and generalizations, e.g., dual purpose, coupled PCA, GED, neural based SVD algorithms, etc. It also discusses in detail various analysis methods for the convergence, stabilizing, self-stabilizing property of algorithms, and introduces the deterministic discrete-time systems method to analyze the convergence of PCA/MCA algorithms. Readers should be familiar with numerical analysis and the fundamentals of statistics, such as the basics of least squares and stochastic algorithms. Although it focuses on neural networks, the book only presents their learning law, which is simply an iterative algorithm. Therefore, no a priori knowledge of neural networks is required. This book will be of interest and serve as a reference source to researchers and students in applied mathematics, statistics, engineering, and other related fields.

Kundernes boganmeldelser af Principal Component Analysis Networks and Algorithms

Anmeld bogen og vær med i konkurrencen om gavekort – læs mere her.

Der er ingen anmeldelser af Principal Component Analysis Networks and Algorithms

for at skrive en anmeldelse.

Bogens kategori: