DocumentCode :
2557525
Title :
Research of case retrieval system of engineering cost consulting enterprises based on neural network
Author :
Liao, Jia ; Feng, Dong-Mei
Author_Institution :
Coll. of Postgrad., Liaoning Tech. Univ., Huludao, China
fYear :
2010
fDate :
16-18 April 2010
Firstpage :
604
Lastpage :
606
Abstract :
The development of artificial intelligence provides a platform for the enterprise to information management. As an intelligent cost-based service industry for engineering consulting firms, information management has became the core competitiveness for enterprise development. This paper analysis the requirements and functions of management information system of engineering cost consulting enterprises, and applied the mind of case-based to information management of engineering cost consulting enterprises, explore how to establish various information retrieval functional systems on the basis of similarity analysis, and combining this method to achieve the function of clustering and retrieval, and analyze problems and countermeasures of the system in practical application.
Keywords :
engineering information systems; information management; information retrieval; management information systems; neural nets; pattern clustering; service industries; artificial intelligence; case retrieval system; clustering; core competitiveness; engineering consulting firm; engineering cost consulting enterprise; enterprise development; information management; information retrieval functional system; intelligent cost-based service industry; management information system; neural network; similarity analysis; Business; Companies; Cost function; Information analysis; Information management; Information retrieval; Information technology; Management information systems; Neural networks; Systems engineering and theory; Case-based reasoning; Neural Network; information technology; similarity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5263-7
Electronic_ISBN :
978-1-4244-5265-1
Type :
conf
DOI :
10.1109/ICIME.2010.5478230
Filename :
5478230
Link To Document :
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