Back propagation (BP) neural network landslide forecasting method based on optimized input layer
A BP neural network, input layer technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of one-sided narrowness, low disaster prediction accuracy, etc., achieving good universality and generalization, and complex structure. Effect
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[0017] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments.
[0018] refer to figure 1 , figure 2 As shown, the method for predicting landslide based on the BP neural network of the optimized input layer includes the following steps,
[0019] Step 1) The collection of relevant parameters of the landslide in the input layer; use Preprocess the raw data so that the input data falls between 0 and 1;
[0020] Step 2) BP neural network training operation; assume that the initial input values are x 1 ,x 2 ,x 3 ... x n , the weight between the input node and the hidden layer node is , the weight between the hidden layer node and the output node is , the threshold in the hidden layer is , the threshold in the output layer is ,use with Input and output of computing nodes
[0021] with;
[0022] Step 3) Judging whether the re...
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