期刊论文

Zhang, Cong

英文

IEEE ACCESS

2169-3536

2020

8

129497-129509

10.1109/ACCESS.2020.3009248

This work was supported in part by the Major Technical Innovation Projects of Hubei Province under Grant 2018ABA099, in part by the National Science Fund for Youth of Hubei Province of China under Grant 2018CFB408, in part by the Natural Science Foundation of Hubei Province of China under Grant 2015CFA061, and in part by the National Nature Science Foundation of China under Grant 61272278.

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The prediction of soil heavy metal content is an important part of the management of soil heavy metal pollution, but it is often ignored. At present, there are few studies on the prediction of soil heavy metal content, and it is an urgent problem to choose an efficient method for soil heavy metal content prediction. In this paper, a collaborative compound neural network model (CCNN) was put forward to predict the soil heavy metal content, this model uses wavelet neural network (WNN) as the basic prediction model, and at the same time proposes a...