A Binary Hopfield Neural-Network Approach for Satellite Broadcast Scheduling Problems  

Oleh:

Funabiki, N. ; Nishikawa, S.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 8 no. 2 (1997), page 441-445.
Topik: SATELLITES; binary hopfield; satellite broadcast; schedulling

Ketersediaan

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

Lihat Detail Induk

Isi artikel

This paper presents a binary Hopfield neural network approach for finding a broadcasting schedule in a low - altitude satellite system. Our neural network is composed of simple binary neurons on the synchronous parallel computation, which is greatly suitable for implementation on a digital machine. With the help of heuristic methods, the neural network of a maximum of 200000 neurons can always find near - optimum solutions on a conventional workstation in our simulations.

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