Are Artificial Neural Networks Black Boxes?  

Oleh:

Benitez, J. M. ; Requena, I. ; Castro, J. L.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 8 no. 5 (1997), page 1156-1164.
Topik: neural network; artificial; neural networks; black boxes

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.2 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

Artificial neural networks are efficient computing models which have shown their strengths in solving hard problems in artificial intelligence. They have also been shown to be universal approximators. Notwithstanding, one of the major criticisms is their being black boxes, since no satisfactory explanation of their behavior has been offered. 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 a certain class of neural nets and fuzzy rule - based systems. This interpretation is built with fuzzy rules using a new fuzzy logic operator which is defined after introducing the concept of f - duality. In addition, this interpretation offers an automated knowledge acquisition procedure.

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