Hybrid Rule and Neural Network Based Framework for Ubiquitous Computing

Author

Gavrilov, Andrey V.

Author_Institution

Dept. of Production Autom., Novosibirsk State Tech. Univ., Novosibirsk

Volume

2

fYear

2008

fDate

2-4 Sept. 2008

Firstpage

488

Lastpage

492

Abstract

One of most perspective techniques for sensing in ubiquitous computing systems is neural networks. But for a prior knowledge representation it is most appropriate to employ rule based techniques. So usage of hybrid intelligent systems based on combination of neural networks and rule based techniques seems perspective for development of smart environment. In this paper features of hybridization in smart environment are described and usage of technology of hybrid expert systems based on shell ESWin is proposed.

Keywords

knowledge based systems; neural nets; ubiquitous computing; ESWin; hybrid expert systems; hybrid intelligent systems; hybrid rule; knowledge representation; neural network; rule based technique; smart environment; ubiquitous computing systems; Artificial intelligence; Computer networks; Emotion recognition; Hybrid intelligent systems; Intelligent networks; Intelligent robots; Knowledge representation; Neural networks; Pervasive computing; Ubiquitous computing; Hybrid Intelligent Systems; Knowledge based Systems; Neural Networks; Rules; Smart Environment; Ubiquitous Computing;

fLanguage

English

Publisher

ieee

Conference_Titel

Networked Computing and Advanced Information Management, 2008. NCM '08. Fourth International Conference on

Conference_Location

Gyeongju

Print_ISBN

978-0-7695-3322-3

Type

conf

DOI

10.1109/NCM.2008.129

Filename

4624191