Are Artiicial Neural Networks Black Boxes? Are Artiicial Neural Networks Black Boxes?
نویسنده
چکیده
Artiicial Neural Networks are eecient computing models which have shown their strengths in solving hard problems in Artiicial Intelligence. They have also shown to be Universal Approximators. Notwithstanding, one of the major criticisms is their being black boxes, since no satisfactory explanation of their behaviour has been ooered yet. In this paper we provide such an interpretation of neural networks so that they will no longer be seen as black boxes. This is stated after establishing the equality between neural nets and fuzzy rule based systems. This interpretation is built with fuzzy rules using a new Fuzzy Logic operator which is deened after introducing the concept of f-duality. In addition, this interpretation ooers an automated knowledge acquisition procedure.
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