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Self-Organising Neural Networks

Overview of attention for book
Cover of 'Self-Organising Neural Networks'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Background to Blind Source Separation
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    Chapter 3 Fourth Order Cumulant Based Blind Source Separation
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    Chapter 4 Self-Organising Neural Networks
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    Chapter 5 The Non-Linear PCA Algorithm and Blind Source Separation
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    Chapter 6 Non-Linear Feature Extraction and Blind Source Separation
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    Chapter 7 Information Theoretic Non-Linear Feature Extraction and Blind Source Separation
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    Chapter 8 Temporal Anti-Hebbian Learning
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    Chapter 9 Applications
Attention for Chapter 1: Introduction
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Citations

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Chapter title
Introduction
Chapter number 1
Book title
Self-Organising Neural Networks
Published by
Springer, London, January 1999
DOI 10.1007/978-1-4471-0825-2_1
Book ISBNs
978-1-85233-066-8, 978-1-4471-0825-2
Authors

Mark Girolami, Girolami, Mark

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 1 100%

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