Performance seismic oscillation risk analysis method based on three-layer data set neural network
A neural network and analysis method technology, applied in the field of seismic technology analysis, to achieve the effect of improving the breadth and toughness
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[0022] The performance earthquake hazard analysis method based on the three-layer data set neural network of the present invention comprises the following steps (see figure 1 shown):
[0023] 1. Earthquake data collection and data noise removal: collect a large number of ground motion records (including ground motion acceleration, velocity, and displacement), perform baseline correction and band-pass filtering and other cleaning tasks, and unify the data format of ground motion records.
[0024] 2. Data feature parameter extraction and initialization processing: extract the input feature parameter x of the neural network from ground motion records, and perform correlation testing and data initialization.
[0025] The characteristic parameters are: performance ground motion logarithm LnY, magnitude M, focal distance R, focal depth H, fault type mark F, fault dip angle θ 1 , fault strike θ 2 , fault dip θ 3 , sliding angle θ 4 , record longitude θ 0X , dimension θ 0Y , Sit...
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