Spatial distribution forecasting method for heavy metal of cadmium in flat terrain area soil
A technology of spatial distribution and prediction method, applied in the direction of neural learning method, biological neural network model, etc., can solve the problem of inability to reasonably select and express the influencing factors of the spatial distribution of heavy metals in soil in flat terrain areas, and the inability to accurately obtain the spatial distribution information of heavy metals in regional soil And other issues
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[0090] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0091] The application principle of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0092] The embodiment of the present invention provides a method for predicting the spatial distribution of heavy metal cadmium in soil in a gentle terrain area. The method for predicting the spatial distribution of heavy metal cadmium in soil in a gentle terrain area includes:
[0093] Firstly, the radial basis function neural network model is used to establish the nonlinear mapping relationship between various influencing factors and soil cadmium content; for the change of correlatio...
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