A Softmin-Based Neural Model for Causal Reasoning  

Oleh:

Romdhane, L. B.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 17 no. 3 (May 2006), page 732-744.
Topik: neural network; softmin - based; neural model; reasoning

Ketersediaan

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

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Isi artikel

This paper extends a neural model for causal reasoning to mechanize the monotonic class. Hence, the resulting model is able to solve multiple, varied causal problems in the open, independent, incompatibility and monotonic classes. First, additivity between causes is formalized as a fuzzy AND - ing process. Second, an activation mechanism called the “softmin” is developed to solve additive interactions. Third, the softmin is implemented within a neural architecture. Experimental results on real - world and artificial problems reveal a good performance of the model and should stimulate future research.

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