A Neural Network Based Algorithm Selector for Radar Task Scheduling

2020 IEEE 19th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)（2020）

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摘要

A neural network based algorithm selector, to choose the most appropriate scheduling algorithm, is proposed in this paper. The approach uses the recurrent neural network (RNN) to learn and to select. The earliest start time algorithm and the random shifted start time algorithm, are considered in the RNN. The network is trained with 400,000 samples, and validated with 40,000 samples, resulting in a...

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关键词

Schedules,Recurrent neural networks,Scheduling algorithms,Neurons,Radar,Numerical simulation,Scheduling

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