The Nonlinear PCA Learning Rule and Signal Separation - Mathematical Analysis

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Alkuperäiskieli	Englanti
Julkaisupaikka	Espoo
Tila	Julkaistu - 1995
OKM-julkaisutyyppi	D4 Julkaistu kehittämis- tai tutkimusraportti taikka -selvitys

Nimi	Helsinki University of Technology, Laboratory of Computer and Information Science
Numero	Report A26

Tutkimusalat

@techreport{2afcb7179be04477ba8fdba43837a73a,

title = "The Nonlinear PCA Learning Rule and Signal Separation - Mathematical Analysis",

keywords = "neural network, PCA, unsupervised learning, neural network, PCA, unsupervised learning, neural network, PCA, unsupervised learning",

author = "E. Oja",

year = "1995",

language = "English",

series = "Helsinki University of Technology, Laboratory of Computer and Information Science",

number = "Report A26",

type = "WorkingPaper",

}

TY - UNPB

T1 - The Nonlinear PCA Learning Rule and Signal Separation - Mathematical Analysis

AU - Oja, E.

PY - 1995

Y1 - 1995

KW - neural network

KW - PCA

KW - unsupervised learning

KW - neural network

KW - PCA

KW - unsupervised learning

KW - neural network

KW - PCA

KW - unsupervised learning

M3 - Working paper

T3 - Helsinki University of Technology, Laboratory of Computer and Information Science

BT - The Nonlinear PCA Learning Rule and Signal Separation - Mathematical Analysis

CY - Espoo

ER -