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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)
,
halaman 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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