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|Title:||Multi-valued neural logic networks|
|Authors:||Hsu, Loke-Soo |
Kia, Fock Loe
|Source:||Hsu, Loke-Soo,Teh, Hoon-Heng,Chan, Sing-Chai,Kia, Fock Loe (1990). Multi-valued neural logic networks. Proceedings of The International Symposium on Multiple-Valued Logic : 426-432. ScholarBank@NUS Repository.|
|Abstract:||Two types of networks that are useful in developing expert systems are proposed. The probabilistic network can be used for predictive types of expert systems, whereas the fuzzy network is more suitable for expert systems that help in decision making. In both cases, the expert system can operate in two modes. In the normal mode, rules are given by experts and weights are assigned values. In the learning mode, weights are allowed to vary while the system is fed with examples.|
|Source Title:||Proceedings of The International Symposium on Multiple-Valued Logic|
|Appears in Collections:||Staff Publications|
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