Effective prediction of DEA model by neural network
SUN Bai-qing, Dong JinWei
Economics and Management School,Harbin Institute of Technology,Harbin 150001,China
Abstract:
In this paper,a fast neural network model for the forecasting of effective points by DEA model is proposed,which is based on the SPDS training algorithm.The SPDS training algorithm overcomes the drawbacks of slow convergent speed and partially minimum result for BP algorithm.Its training speed is much faster and its forecasting precision is much better than those of BP algorithm.By numeric examples,it is showed that adopting the neural network model in the forecasting of effective points by DEA model is valid.
Key words: multi-layer neural network single parameter dynamic searching algorithm BP algorithm DEA forecasting
DOI：10.11916/j.issn.1005-9113.2009.05.018
Clc Number:F224
Fund:
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Effective prediction of DEA model by neural network
本站小编 哈尔滨工业大学/2019-10-23
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