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The ‘subsequent artificial neural network’ (SANN) approach might bring more classificatory power to ANN-based DNA microarray analyses
Author(s) -
Roland Linder,
Dawn Dew,
Holger Sudhoff,
Dirk Theegarten,
K. Remberger,
S. J. Pöppl,
Mathias Wagner
Publication year - 2004
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bth441
Subject(s) - benchmark (surveying) , artificial neural network , computer science , artificial intelligence , machine learning , categorization , data mining , process (computing) , pattern recognition (psychology) , geodesy , geography , operating system
Human decisions often proceed in two steps. Initially those most preferred are chosen followed by a subsequent choice of these preferences. Applying one artificial neural network (ANN), a classification is limited to the preselection process. The final categorization is only possible by a subsequent ANN that distinguishes the pre-chosen classes. Existing strategies using coupled ANNs are discussed and a new approach particularly suited for multiclass classification problems is introduced ('Subsequent ANN', SANN).

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