## 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
USING ARTIFICIAL NEURAL NETWORKS TO ESTIMATE MISSING RAINFALL DATA
β Scribed by Robert J. Kuligowski; Ana P Barros
- Book ID
- 111428256
- Publisher
- American Water Resources Association
- Year
- 1998
- Tongue
- English
- Weight
- 191 KB
- Volume
- 34
- Category
- Article
- ISSN
- 1093-474X
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