DocumentCode :
2255070
Title :
Study on strengthen of high-tech enterprises growth-evaluation based on neural network system
Author :
Chang, Ting-ting ; Liang, Ge-fu ; Sun, Meng-jie
Author_Institution :
Coll. of Eonomics & Manage., China Agric. Univ., Beijing, China
Volume :
4
fYear :
2010
fDate :
11-14 July 2010
Firstpage :
1730
Lastpage :
1735
Abstract :
A three-level index evaluation system of high-tech enterprises is raised expanding from four main factors-capital, technology, market and management; neural network system is introduced in high-tech enterprises growth-evaluation to strengthen the evaluation; BP network model is established through network training, which is used to carry out growth evaluation. These provide frontier idea for the cross application of mathematics in the field of high-tech enterprise management.
Keywords :
backpropagation; business data processing; neural nets; BP network model; capital; high-tech enterprise management; high-tech enterprises growth-evaluation; market; network training; neural network system; technology; three-level index evaluation system; Artificial neural networks; Companies; Indexes; Machine learning; Mathematical model; Neurons; Training; Growth-evaluation; High-tech; Neural Network System; Strengthen;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
Type :
conf
DOI :
10.1109/ICMLC.2010.5580978
Filename :
5580978
Link To Document :
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