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Advances in self-organising maps

Advances in self-organising maps (2회 대출)

자료유형
단행본
개인저자
Allinson, Nigel, 1948-.
서명 / 저자사항
Advances in self-organising maps / [edited by] Nigel Allinson ... [et al.].
발행사항
London ;   New York :   Springer,   c2001.  
형태사항
ix, 288 p. : ill., maps ; 24 cm.
ISBN
1852335114 (pbk. : alk. paper)
일반주기
Proceedings of the third Workshop on Self-Organizing Maps, held June 13-15, 2001, University of Lincolnshire and Humberside.  
서지주기
Includes bibliographical references and index.
일반주제명
Neural networks (Computer science) --Congresses. Self-organizing systems --Congresses.
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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-.

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/서고6층/ 청구기호 006.32 A244 등록번호 111245709 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

목차

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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