Title :
Synthetic evaluation of enterprises future profitability based on neural networks
Author :
Jianguo, Zhao ; Li, Miao
Author_Institution :
Dongbei Univ. of Finance & Econ., Dalian, China
Abstract :
After analyzing the advantages and disadvantages of common multi-target synthetic evaluation in determining enterprises future profitability, this paper gives the method of multi-target synthetic evaluation based on neural networks, and applies it to the evaluation of enterprises future profitability. The simulation result demonstrates that this method is satisfactory.
Keywords :
backpropagation; business data processing; neural nets; profitability; simulation; backpropagation algorithm; enterprise future profitability; multitarget synthetic evaluation; neural networks; Entropy; Equations; Finance; Ink; Large-scale systems; Neural networks; Neurons; Profitability; Telephony; Uncertainty;
Conference_Titel :
Control Applications, 2003. CCA 2003. Proceedings of 2003 IEEE Conference on
Print_ISBN :
0-7803-7729-X
DOI :
10.1109/CCA.2003.1223411
