Development of a recurrent Sigma-Pi neural network rainfall forecasting system in Hong Kong-Reference-Cited by-同舟云学术

Development of a recurrent Sigma-Pi neural network rainfall forecasting system in Hong Kong

Published:1997-06 Issue:2 Volume:5 Page:66-75
ISSN:0941-0643
Container-title:Neural Computing & Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Chow T. W. S.,Cho S. Y.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/BF01501172.pdf

Reference10 articles.

1. Guoxiang Y, Hanscheng L, Qiqiang H. A meso-?-scale of Meiyu front heavy rain ? part II: The dynamical analysis of rain-band disturbance. Advances in Atmospheric Science 1987; 4(4): 485?495

2. Rodrignez Iturbe I, Eagleson PS. Mathematical models of rain storm events in space & time. Water Resource Res 1987; 23(1): 181?190

3. Collier CG, Goddard DM, Con way BJ. Real-time analysis of prediction using satellite imagery, ground-based radars conventional observations and numerical model output. Meteorol Mag (1989); 118(1398): 1?8

4. Yeung KK, Chang WL. Numerical simulation of mesoscale meteorological phenomena in Hong Kong. Proc Int Conf on East Asia and Western Pacific Met & Climate, Hong Kong 1989; 451?460

5. McCann DW. Forecasting techniques, a neural network short-term forecast of significant thunderstorm. Weather & Forecasting 1992; 7(3)

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