Rule-Based Neural Networks for Classification and Probability Estimation
نویسندگان
چکیده
منابع مشابه
Rule-Based Neural Networks for Classification and Probability Estimation
conjunctive rules between discrete input evidence variables and output class variables. These n,tles are then mapped onto the weights and nodes of a feedforward neural network resulting in a directly specified architecture. The network acts as parallel Bayesian classifier, but more importantly, can also output posterior probability estimates of the class variables. Empirical tests on a number o...
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ژورنال
عنوان ژورنال: Neural Computation
سال: 1992
ISSN: 0899-7667,1530-888X
DOI: 10.1162/neco.1992.4.6.781