Application and Realization of Combined Neural Network in Architecture Design of Information Systems

Author

Xiaomin, Xu ; Ju, Hu

Author_Institution

Sch. of Inf. Manage., Beijing Inf. Sci. & Technol. Univ., Beijing, China

Volume

1

fYear

2009

fDate

10-11 July 2009

Firstpage

544

Lastpage

547

Abstract

Being based strongly on experience, while weekly on theories characterizes the architecture design of information systems, In this paper, by adopting SOM and BP neural network techniques, a multi-layer combined architecture of neural networks is put forward and realized, in the pattern-based methods of comprehensive design of information system; consequently a scientific and effective approach is searched to design the information system, as a contributive attempt to combine the artificial intelligence and information system development.

Keywords

backpropagation; information systems; multilayer perceptrons; self-organising feature maps; software architecture; BP neural network technique; SOM; artificial intelligence; combined neural network; information system architecture design; multilayer neural network; pattern-based method; Artificial intelligence; Artificial neural networks; Computer architecture; Design methodology; Information management; Information science; Information systems; Management information systems; Multi-layer neural network; Neural networks; BP; SOM; architecture design; information systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Engineering, 2009. ICIE '09. WASE International Conference on

Conference_Location

Taiyuan, Shanxi

Print_ISBN

978-0-7695-3679-8

Type

conf

DOI

10.1109/ICIE.2009.236

Filename

5211528