期刊
INTERNATIONAL JOURNAL OF FORECASTING
卷 16, 期 4, 页码 509-515出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/S0169-2070(00)00072-8
关键词
artificial neural networks; automated ANNs; architecture
Artificial neural networks (ANNs) are an information processing paradigm inspired by the way the brain processes information. Using neural networks requires the investigator to make decisions concerning the architecture or structure used. ANNs are known to be universal function approximators and are capable of exploiting nonlinear relationships between variables. This method, called Automated ANNs, is an attempt to develop an automatic procedure for selecting the architecture of an artificial neural network for forecasting purposes. It was entered into the M-3 Time Series Competition. Results show that ANNs compete well with the other methods investigated, but may produce poor results if used under certain conditions. (C) 2000 Elsevier Science BN. All rights reserved.
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