## 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 ASAS multiangle and multispectral measurements using artificial neural networks
β Scribed by Abdelgadir A. Abuelgasim; Sucharita Gopal; James R. Irons; Alan H. Strahler
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 1004 KB
- Volume
- 57
- Category
- Article
- ISSN
- 0034-4257
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