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- W2112347954 abstract "This paper presents the prototype implementation of a hybrid neural expert system shell. The shell, 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 inference mechanism. Using this architecture, every rule of the knowledge base is represented by a one or two-layer neural element. These elements are dynamically linked up to form the rule-tree during inference process. Furthermore, the firing of netels emulate opportunistic decision making process, which is typical of human decision makers. Finally, the system is also able to adjust its inference strategy according to different users and situations." @default.
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- W2112347954 date "2002-11-19" @default.
- W2112347954 modified "2023-09-26" @default.
- W2112347954 title "Emulating human decision making process using hybrid system" @default.
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- W2112347954 doi "https://doi.org/10.1109/icnn.1995.488898" @default.
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