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Advances in self-organising maps

Advances in self-organising maps (Loan 2 times)

Material type
단행본
Personal Author
Allinson, Nigel, 1948-.
Title Statement
Advances in self-organising maps / [edited by] Nigel Allinson ... [et al.].
Publication, Distribution, etc
London ;   New York :   Springer,   c2001.  
Physical Medium
ix, 288 p. : ill., maps ; 24 cm.
ISBN
1852335114 (pbk. : alk. paper)
General Note
Proceedings of the third Workshop on Self-Organizing Maps, held June 13-15, 2001, University of Lincolnshire and Humberside.  
Bibliography, Etc. Note
Includes bibliographical references and index.
Subject Added Entry-Topical Term
Neural networks (Computer science) --Congresses. Self-organizing systems --Congresses.
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008 010508s2001 enka b 101 0 eng
010 ▼a ?01034203
020 ▼a 1852335114 (pbk. : alk. paper)
040 ▼a DLC ▼c DLC ▼d C#P ▼d UKM ▼d OHX ▼d 211009
042 ▼a pcc
049 1 ▼l 111245709
050 0 0 ▼a QA76.87 ▼b .A385 2001
082 0 0 ▼a 006.3/2 ▼2 21
090 ▼a 006.32 ▼b A244
111 2 ▼a Workshop on Self-Organizing Maps ▼n (3rd : ▼d 2001 : ▼c University of Lincolnshire and Humberside)
245 1 0 ▼a Advances in self-organising maps / ▼c [edited by] Nigel Allinson ... [et al.].
260 ▼a London ; ▼a New York : ▼b Springer, ▼c c2001.
300 ▼a ix, 288 p. : ▼b ill., maps ; ▼c 24 cm.
500 ▼a Proceedings of the third Workshop on Self-Organizing Maps, held June 13-15, 2001, University of Lincolnshire and Humberside.
504 ▼a Includes bibliographical references and index.
650 0 ▼a Neural networks (Computer science) ▼v Congresses.
650 0 ▼a Self-organizing systems ▼v Congresses.
700 1 ▼a Allinson, Nigel, ▼d 1948-.

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/Western Books/ Call Number 006.32 A244 Accession No. 111245709 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of Contents

Towards an information-theoretic approach to kernel-based topographic map formation.- A statistical tool to assess the reliability of self-organising maps.- A SOM association network.- A supervised self-organising map for structured data.- Human gait analysis using SOM.- Exploring financial crises data with self-organising maps (SOM).- Analysing health inequalities using SOM.- Integrating contextual information into text document clustering with self-organising maps.- Self-organising Internet semantic network.- Recursive learning rules for SOMs.- Induced Vorono kernels for principal manifolds approximation.- Visualisation induced SOM (ViSOM).- An approach to automated interpretation of SOM.- VQ-based clustering algorithm of piecewise-dependant-data.- Adaptive subspace encoders using stochastic vector quantisers.- SHAPESOM.- A new interpolation algorithm employing a self organising map.- SOM-based exploratory analysis of gene expression data.- Exploring power transformer database using self-organising maps (SOM) and minimal spanning tree (MST).- Recent advances with the growing hierarchical self-organising Map.- Self-organising maps of web link information.- A design method of DNA chips using self-organising maps.- Multi-dimensional self-organising maps on massively parallel hardware.- A new method of Hough transform by using SOM with input vector transformation.- Estimating relevant input dimensions for self-organising algorithms.- An overview on unsupervised learning from data mining perspective.- Recursive self-organising maps.- An investigation into catastrophic interference on a SOM network.-A topography-preserving latent variable model with learning metrics.- Vector quantisation with g-observable neighbors.- Dynamic vector quantisation of speech.- Optimisation of electronic parts mounting machines using SOM-TSP method with 5 dimensional data.- Self-organising maps forcondition assessment of paper insulated cables.- An essay in classifying self-organising maps for temporal sequence processing.- Evaluating SOM-based models in text classification tasks for the Greek language.- Nonlinear blind source separation using SOMs and applications to image denoising.- Signal-based feature extraction and SOM based dimension reduction in a vibration monitoring microsystem.


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