Modelling and prediction using GMDH networks of Adalines with nonlinear preprocessors
作者:
D. T. PHAM,
X. LIU,
期刊:
International Journal of Systems Science
(Taylor Available online 1994)
卷期:
Volume 25,
issue 11
页码: 1743-1759
ISSN:0020-7721
年代: 1994
DOI:10.1080/00207729408949310
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
This paper presents the results of an investigation into the use of GMDH neural networks for system modelling and prediction. A number of Adalines with nonlinear preprocessors were trained to yield a GMDH neural network. The training was carried out by applying the Widrow-Hoff learning rule. The structure of the network, i.e. the number of layers and the number of Adalines in each layer, was determined during training. The results obtained have shown that this type of network can successfully be employed for various system modelling and prediction tasks
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