Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/111280
Title: Rule-based reasoning using extended neural logic network
Authors: Quah, Tong-Seng 
Tan, Chew-Lim 
Teh, Hoon-Heng 
Shen, ZuLiang 
Issue Date: 1993
Citation: Quah, Tong-Seng,Tan, Chew-Lim,Teh, Hoon-Heng,Shen, ZuLiang (1993). Rule-based reasoning using extended neural logic network. Proceedings of the International Joint Conference on Neural Networks 2 : 1405-1408. ScholarBank@NUS Repository.
Abstract: Neural Logic Network (NEULONET) are studied in National University of Singapore to incorporate both the pattern processing capability of Multi-layer Perceptrons and the logical inference capability of Boolean Logic Inference Networks within a single frame of neural network environment. In this paper, a few extensions to the NEULONET are proposed. These enhancements to the network structure strengthen its ability to perform rule-based reasonings. The concept of network element (netel) is introduced. With netel, expert system rules may now be easily mapped into rudimentary NEULONETs. The resulting netel knowledge base inherits the semantic meanings of the expert system rules and the learning ability of the connectionist architecture.
Source Title: Proceedings of the International Joint Conference on Neural Networks
URI: http://scholarbank.nus.edu.sg/handle/10635/111280
ISBN: 0780314212
Appears in Collections:Staff Publications

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