@inproceedings{7cf8e3528d844baa92efa6118769b23a, title = "Fuzzy neural logic network and its learning algorithms", abstract = "This paper introduces the basic features of fuzzy neural logic network. Each fuzzy neural logic network model is trained from a set of knowledge in the form of examples using one of the three learning algorithms introduced. These three learning algorithms are the delta rule controlled learning algorithm and two mathematical construction algorithms, namely, the local learning method and the global learning method. Once the fuzzy neural logic network model is constructed, it is ready to accept any unknown input from the user. With a low percentage of mismatched features, output solution can be obtained.", author = "Sing-Chai Chan and Fui-Hoon Nah", year = "1991", month = jan, doi = "10.1109/HICSS.1991.183918", language = "English", isbn = "9780818621215", volume = "1", series = "Proceedings of the Annual Hawaii International Conference on System Sciences", publisher = "IEEE", pages = "476--485", booktitle = "Proceedings of the Twenty-Fourth Annual Hawaii International Conference on System Sciences", note = "24th Annual Hawaii International Conference on System Sciences (HICSS 1991) ; Conference date: 08-01-1991 Through 11-01-1991", }