| Document Type
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BL
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| Record Number
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719512
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| Doc. No
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b539204
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| Main Entry
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Mark Girolami.
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| Title & Author
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Self-organising neural networks : : independent component analysis and blind source separation\ Mark Girolami.
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| Publication Statement
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London ; New York: Springer, ©1999.
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| Series Statement
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Perspectives in neural computing.
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| Page. NO
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vii, 271 pages : illustrations ; 24 cm.
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| ISBN
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185233066X
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: 9781852330668
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| Contents
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1. Introduction --;2. Background to Blind Source Separation --;3. Fourth Order Cumulant Based Blind Source Separation --;4. Self-Organising Neural Networks --;5. The Non-Linear PCA Algorithm and Blind Source Separation --;6. Non-Linear Feature Extraction and Blind Source Separation --;7. Information Theoretic Non-Linear Feature Extraction And Blind Source Separation --;8. Temporal Anti-Hebbian Learning --;9. Applications.
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| Abstract
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The conception of fresh ideas and the development of new techniques for Blind Source Separation and Independent Component Analysis have been rapid in recent years.
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| Subject
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Independent component analysis.
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| Subject
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Neural networks (Computer science)
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| Subject
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Réseaux neuronaux (Informatique)
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| LC Classification
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QA76.87M375 1999
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| Added Entry
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Mark Girolami
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