## Abstract In this paper, the usefulness of artificial neural networks (ANNs) as a suitable tool for the study of the medium and longβterm climatic variability is examined. A method for classifying the inherent variability of climatic data, as represented by the rainfall regime, is investigated. T
Classification of wine samples by means of artificial neural networks and discrimination analytical methods
β Scribed by Li-Xian Sun; Klaus Danzer; Gabriela Thiel
- Publisher
- Springer
- Year
- 1997
- Tongue
- English
- Weight
- 617 KB
- Volume
- 359
- Category
- Article
- ISSN
- 1618-2650
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