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首页> 外文期刊>IETE Technical Review >Optimizing Satellite Broadcast Scheduling Problem using Mean Field Annealing Theory and Hopfield Model Neural Network
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Optimizing Satellite Broadcast Scheduling Problem using Mean Field Annealing Theory and Hopfield Model Neural Network

机译:平均场退火理论和Hopfield模型神经网络优化卫星广播调度问题

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摘要

A discussion has been carried out on the features of neural networks and the applications of Hopfield model neural network in solving the combinatorial optimization problems. Satellite broadcast scheduling problem has been considered, for example. A new method has been presented for optimizing the satellite broadcast schedules based on the Hopfield neural model in combination with the mean field annealing theory.
机译:已经讨论了神经网络的特征以及Hopfield模型神经网络在解决组合优化问题中的应用。例如,已经考虑了卫星广播调度问题。提出了一种基于Hopfield神经模型并结合均值场退火理论优化卫星广播时间表的新方法。

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