An air quality forecast model based on the BP neural network of the samples self-organization clustering

In practice, the training samples of the neural network usually have intrinsic characteristics and regularity. The paper presents a BP neural network (BPNN) forecast model based on the samples self-organizing clustering. Using the clustering feature of the self-organizing competitive neural network(...

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Bibliographische Detailangaben

Hauptverfasser:	Jiang Zhifang, Mao Bingq, Meng Xiangxu, Du Xiaoliang, Liu Shucheng, Li Shenfang
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Adaptation model air quality Artificial neural networks Atmospheric modeling BP neural network clustering Convergence forecast model Neurons Predictive models self-organizing competitive neural network Training training samples
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