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|Title:||Connectionist shell for developing expert decision support systems||Authors:||Quah, Tong-Seng
|Issue Date:||1993||Citation:||Quah, Tong-Seng,Tan, Chew-Lim,Teh, Hoon-Heng (1993). Connectionist shell for developing expert decision support systems. Proceedings of the International Conference on Tools with Artificial Intelligence : 330-337. ScholarBank@NUS Repository.||Abstract:||This paper presents the architecture of a hybrid neural network expert system shell. The system, structured around the concept of 'network element', is aimed at preserving semantic structure of the expert system rules whilst incorporating learning capability of neural networks into the inferencing mechanism. Using this architecture, every rule of the knowledge base is represented by a one or two-layer neural network element. These network elements are dynamically linked up to form the rule-tree during inferencing process. The system is also able to adjust its inference strategy according to different users and situations. An editor is also provided to enable easy maintenance of the neural network rule elements. The shell is housed in a user friendly rule-based alike interface. Two applications that are built upon the above mentioned shell are discussed, they demonstrated strengths of the network element architecture over conventional rule-based system.||Source Title:||Proceedings of the International Conference on Tools with Artificial Intelligence||URI:||http://scholarbank.nus.edu.sg/handle/10635/116705||ISBN:||0818642009||ISSN:||10636730|
|Appears in Collections:||Staff Publications|
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