For the defect that it is hard to determine the smoothing parameter in time-varying conditions, the adaptive optimizing strategy based on contributing ratio is proposed.
针对广义回归网络在时变环境下难以确定平滑因子,自适应能力弱的缺点,提出了一种基于贡献率的选择优化方案。
For the defect that it is hard to determine the smoothing parameter in time-varying conditions, the adaptive optimizing strategy based on contributing ratio is proposed.
针对广义回归网络在时变环境下难以确定平滑因子,自适应能力弱的缺点,提出了一种基于贡献率的选择优化方案。
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