Interpretability and learning in neuro-fuzzy systems
نویسندگان
چکیده
منابع مشابه
Interpretability and learning in neuro-fuzzy systems
A methodology for the development of linguistically interpretable fuzzy models from data is presented. The implementation of the model is conducted through the training of a neuro-fuzzy network, i.e., a neural net architecture capable of representing a fuzzy system. In the /rst phase, the structure of the model is obtained by means of subtractive clustering, which allows the extraction of a set...
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ژورنال
عنوان ژورنال: Fuzzy Sets and Systems
سال: 2004
ISSN: 0165-0114
DOI: 10.1016/j.fss.2003.11.012