@inproceedings{6d728a807e284a4db5bf1d1c22348150,

title = "Fuzzy decision neural networks and application to data fusion",

abstract = "A decision-based neural network (DBNN) is extended to a fuzzy-decision neural network (FDNN), which is shown to offer classification/generalization performance improvements, especially when the data are not clearly separable. The hierarchical structure adopted make the computation process very efficient. The learning rule and some key properties of FDNN are described. A Bayesian paradigm offers an optimal approach to data fusion. This approach is explored. DBNN, together with a Bayesian approach, is proposed to formulate the data fusion process.",

author = "Taur, {J. S.} and Kung, {S. Y.}",

year = "1993",

month = jan,

day = "1",

doi = "10.1109/NNSP.1993.471872",

language = "English (US)",

series = "Neural Networks for Signal Processing III - Proceedings of the 1993 IEEE Workshop, NNSP 1993",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "171--180",

editor = "C.A. Kamm and G.M. Kuhn and R. Chellappa and B. Yoon and S.Y. Kung",

booktitle = "Neural Networks for Signal Processing III - Proceedings of the 1993 IEEE Workshop, NNSP 1993",

address = "United States",

note = "1993 3rd IEEE-SP Workshop on Neural Networks for Signal Processing, NNSP 1993 ; Conference date: 06-09-1993 Through 09-09-1993",

}