A binary Hopfield neural-network approach for satellite broadcast scheduling problems.
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.
Funabiki
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Dept. of Inf. and Comput. Sci., Osaka Univ.
Nishikawa
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