## Abstract Summer rainfall in the Yangtze River basin is predicted using neural network techniques. Input variables (predictors) for the neural network are the Southern Oscillation Index (SOI), the East Atlantic/Western Russia (EA/WR) pattern, the Scandinavia (SCA) pattern, the Polar/Eurasia (POL)
Shift in the summer rainfall over the Yangtze River valley in the late 1970s
β Scribed by Gong, Dao-Yi; Ho, Chang-Hoi
- Book ID
- 118663887
- Publisher
- American Geophysical Union
- Year
- 2002
- Tongue
- English
- Weight
- 350 KB
- Volume
- 29
- Category
- Article
- ISSN
- 1944-8007
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