DocumentCode :
3243159
Title :
Birds World: a coupled artificial neural network and expert system (CANNES) architecture
Author :
Sung, C.-H. ; Okagaki, Kiyoharu
Author_Institution :
Center for Artificial Intelligence & Neural Networks, San Diego, CA, USA
fYear :
1989
fDate :
0-0 1989
Abstract :
Summary form only given, as follows. The backpropagation neural networks and an expert system are coupled in the system ´Birds World´ for pattern classification. This system fully utilizes both aural and visual data from birds to perform classification tasks at two levels of recognition. The neural network performs an initial classification that is validated by the expert system. Once accepted, the expert system applies its knowledge base for further discrimination within the class. This system optimizes classification performance by incorporating reasoning capabilities for validation as well as for providing further decision support to the neural network. The benefit to the expert system is reflected in a low-overhead base of simple, noncomputational rules.<>
Keywords :
computerised pattern recognition; expert systems; neural nets; virtual machines; zoology; Birds World; aural data; backpropagation neural networks; coupled artificial neural network and expert system; coupled computer architecture; knowledge base; noncomputational rules; pattern classification; pattern recognition; visual data; Expert systems; Neural networks; Pattern recognition; Virtual computers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1989. IJCNN., International Joint Conference on
Conference_Location :
Washington, DC, USA
Type :
conf
DOI :
10.1109/IJCNN.1989.118348
Filename :
118348
Link To Document :
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