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Classification of crossed immunoelectrophoretic patterns using digital image processing and artificial neural networks

✍ Scribed by Dr. Ib Søndergaard; Britta Naimi Krath; Martin Hagerup


Publisher
John Wiley and Sons
Year
1992
Tongue
English
Weight
570 KB
Volume
13
Category
Article
ISSN
0173-0835

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## Abstract In this paper, the usefulness of artificial neural networks (ANNs) as a suitable tool for the study of the medium and long‐term climatic variability is examined. A method for classifying the inherent variability of climatic data, as represented by the rainfall regime, is investigated. T