Alien Attractors and Memory Annihilation of Structured Sets in Hopfield Networks  

Oleh:

Kumar, S. ; Saini, S. ; Prakash, P.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 7 no. 5 (1996), page 1305-1308.
Topik: networks; allient attractors; memoy annhiliation; networks

Ketersediaan

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

Lihat Detail Induk

Isi artikel

This paper considers the encoding of structured sets into Hopfield associative memories. A structured set is a set of vectors with equal Hamming distance h from one another, and its centroid is an external vector that has distance h / 2 from every vector of the set. Structured sets having centroids are not infrequent. When such a set is encoded into a noiseless Hopfield associative memory using a bipolar outer - product connection matrix, and the network operates with synchronous neuronal update, the memory of all encoded vectors is annihilated even for sets with as few as three vectors in dimension n > 5 (four for n = 5). In such self - annihilating structured sets, the centroid emerges as a stable attractor. We call it an alien attractor. For canonical structured sets, self - annihilation takes place only if h < n / 2. Self - annihilation does not occur and alien attractors do not emerge in dimensions less than five.

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