Unsupervised neural network learning procedures for feature extraction and classification

S Becker; M Plumbley

doi:10.1007/BF00126625

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Unsupervised neural network learning procedures for feature extraction and classification

Journal article

Peer reviewed

Unsupervised neural network learning procedures for feature extraction and classification

S Becker and M Plumbley

APPLIED INTELLIGENCE, Vol.6(3), pp.185-203

01/07/1996

DOI: https://doi.org/10.1007/BF00126625

Abstract

Science & Technology

Technology

Computer Science

Artificial Intelligence

Computer Science

COMPUTER SCIENCE

ARTIFICIAL INTELLIGENCE

unsupervised learning

self-organization

information theory

feature extraction

signal processing

PRINCIPAL-COMPONENT ANALYSIS

ASSOCIATIVE MEMORY

FEATURE-DISCOVERY

ALGORITHM

MODEL

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Title: Unsupervised neural network learning procedures for feature extraction and classification
Creators: S Becker
M Plumbley
Publication Details: APPLIED INTELLIGENCE, Vol.6(3), pp.185-203
Publisher: KLUWER ACADEMIC PUBL
Date published: 01/07/1996
Date submitted: 17/05/2017
Identifiers: 99516601002346
Academic Unit: University of Surrey
Language: English
Resource Type: Journal article

Unsupervised neural network learning procedures for feature extraction and classification

Abstract

Files and links (1)

Metrics

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