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