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Titlebook: Self-Organizing Neural Networks; Recent Advances and Udo Seiffert,Lakhmi C. Jain Book 2002 Springer-Verlag Berlin Heidelberg 2002 Extensio

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Friedhelm Schwenker,Hans A. Kestler,Günther Palmy in the chemistry of the components is one. Even where analytes are few, they can be so overlapping in properties that probes or methods of adequate selectivity are lacking and separation is required. In these cases separation is an essential part of the analytical procedure. But even when the mixt
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978-3-662-00343-5Springer-Verlag Berlin Heidelberg 2002
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Self-Organizing Neural Networks978-3-7908-1810-9Series ISSN 1434-9922 Series E-ISSN 1860-0808
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Studies in Fuzziness and Soft Computinghttp://image.papertrans.cn/s/image/864520.jpg
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Udo Seiffert,Lakhmi C. JainOne of the most comprehensive books on SOMs.Contains new theoretical works and up-to-date applications written by some of the world leaders of current SOM research
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Measures for the Organization of Self-Organizing Maps,proves to be useful in practice, is quite difficult to formulate. The goal of this chapter is to give an overview over the relevant problems in and different approaches towards the development of organization measures for SOMs.
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Growing Multi-Dimensional Self-Organizing Maps for Motion Detection,ght be more advantageous. This sometimes also called hypercube topology can be considered as the universal case of the standard topology. This chapter gives an introduction and demonstrates basic properties by means of applications from motion picture analysis.
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