Improved dual mode GMDH with automatic switch
作者:
KEI HARA,
TETSUHIKO YAMAMOTO,
KAZUO TERADA,
期刊:
International Journal of Systems Science
(Taylor Available online 1990)
卷期:
Volume 21,
issue 8
页码: 1553-1565
ISSN:0020-7721
年代: 1990
DOI:10.1080/00207729008910476
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
This paper proposes a stable dual mode GMDH. In each layer, two types of functions are prepared and compared with each other. The output of the model is given by the superior function, which is automatically selected according to the criterion proposed in this paper. Two real social systems arc applied to check the effectiveness of this method. A modelling interval longer than the period of the real system suppresses large predictionsl errors.
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