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大气污染预测中提高BP网络泛化能力的方法

Keywords: BP网络,泛化能力,PM-(2.5),污染预测

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Abstract:

为了通过预测大气环境的质量和发展变化,来寻求有效地控制和改善环境质量的相应措施,选用英国伦敦马里波恩监测站PM_(2.5)的小时平均浓度监测资料,采用贝叶斯归一化训练算法和提前终止法泛化改进的BP神经网络模型,预报PM_(2.5)的24h内的各小时浓度.结果表明,采用本方法进行空气污染预报,预测相对误差为20%~49%,提高了预报网络的泛化能力.

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