A Pruning Algorithm for Network Structure Optimization in the Forecasting Climate System Using Neural Network


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 7, No. 2, pp. 385-391, Feb. 2000
10.3745/KIPSTE.2000.7.2.385,   PDF Download:

Abstract

Recently, neural network research for forecasting the consecutive controlling rules of the future is being progressed, using the series data which are different from the traditional statistical analysis methods. In this paper, we suggest the pruning algorithm for the fast and exact weather forecast that excludes the hidden layer of the early optional designed neural network. There are perform the weather forecast experiments using the 22080 kinds of weather data gathered from 1987 to 1996 for proving the efficiency of this suggested algorithm. Through the experiments, the early optional composed 26~50~1 neural network became the most suitable 26~2~1 structure through the pruning algorithm suggested, in the optimum neural network 26~2~1, in the case of the error temperature 0.5, the average was 33.55%, in the case of, the average was 61.57%, they showed more superior than the average 29.31% and 54.47% of the optional designed structure, also. we can reduce the calculation frequency more than maximum 25 times as compared with the optional sturcture neural network in the calculation frequencies.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[IEEE Style]
K. J. Lee, M. A. Kang, C. Y. Jung, "A Pruning Algorithm for Network Structure Optimization in the Forecasting Climate System Using Neural Network," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 7, no. 2, pp. 385-391, 2000. DOI: 10.3745/KIPSTE.2000.7.2.385.

[ACM Style]
Kee Jun Lee, Myung A Kang, and Chai Yeoung Jung. 2000. A Pruning Algorithm for Network Structure Optimization in the Forecasting Climate System Using Neural Network. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 7, 2, (2000), 385-391. DOI: 10.3745/KIPSTE.2000.7.2.385.