Knowledge-based fuzzy MLP for classification and rule generation
نویسندگان
چکیده
منابع مشابه
Knowledge-based fuzzy MLP for classification and rule generation
A new scheme of knowledge-based classification and rule generation using a fuzzy multilayer perceptron (MLP) is proposed. Knowledge collected from a data set is initially encoded among the connection weights in terms of class a priori probabilities. This encoding also includes incorporation of hidden nodes corresponding to both the pattern classes and their complementary regions. The network ar...
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ژورنال
عنوان ژورنال: IEEE Transactions on Neural Networks
سال: 1997
ISSN: 1045-9227,1941-0093
DOI: 10.1109/72.641457