Geological hazard forecasting method based on neural network and multi-parameter information fusion
A geological disaster and neural network technology, applied to alarms, instruments, etc., can solve problems such as waste of resources, lack of monitoring equipment, and inability to display data, and achieve the effect of improving accuracy
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[0034] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0035] The flow of the present invention's geological hazard prediction method based on neural network and multi-parameter information fusion is as follows: figure 1 As shown, the specific steps are as follows:
[0036] Step 1, establishing a geological hazard prediction model based on neural network and multi-parameter information fusion;
[0037] Step 1.1: Training data sorting and threshold setting;
[0038] Calculate the relationship between the debris flow factor, landslide factor and the degree of hazard in areas where geological disasters have occurred, and use each parameter factor as training data, then select the corresponding parameter to measure the maximum range of the sensor, and install the training data between 0 and the maximum range Points are divided into grades to determine the initial relationship distribution between e...
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