DocumentCode :
323392
Title :
Multitarget synthetic evaluation based on neural networks and its applications
Author :
Shuangdong, Zhu ; Jianguo, Zhao
Author_Institution :
Dept. of Autom., Fushun Pet. Inst., Liaoning, China
Volume :
1
fYear :
1997
fDate :
28-31 Oct 1997
Firstpage :
533
Abstract :
This paper discusses the defects of the long-term average cost curve method, as well as the advantages and defects of the multitarget synthetic evaluation. It presents a multitarget synthetic evaluation based on neural networks, and determines an economical scale using the method. The simulation result demonstrates that the method is satisfactory
Keywords :
costing; economics; neural nets; economical scale; long-term average cost curve method; multitarget synthetic evaluation; neural networks; simulation; Automation; Costs; Finance; Fuel economy; Linear regression; Neural networks; Petroleum; Production; Statistical analysis; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4253-4
Type :
conf
DOI :
10.1109/ICIPS.1997.672840
Filename :
672840
Link To Document :
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