Recently,Professor Xue Jinchun, vice president of our In-stitute,as the corresponding author,Discrimination of Minin-g Microseismic Events and blasts using was published in Journal of Central South University Convolutional Neural networks and Original Waveform "research paper is included in ESl.
In view of the different characteristics of the seismic waveforms of microseismic events and blasting events, this paper establishes the discriminant index of wave microseismic events and explosions based on the calculated value of weight
High precision classification model, is proposed based on convolution neural network with the original waveform of microtremor identification method and the key technology, the blasting event accuracy through mapping and contrast than the ROC curve of three kinds of model, it can be seen that due to the use of the original waveform training model, CNN in the event of an identification microtremor and blasting showed absolute advantage, The interference caused by source parameters and spectrum analysis is minimized. This not only reduces the influence of individual experience differences, but also eliminates the over-extraction of source parameters and waveform parameters
Errors in the process. It is proved that the identification method of microseismic and blasting events established in this paper can improve the speed and precision of microseismic data processing.
The thesis links: https://sci-hubyncjkjcom/10.1007/s11771-020-4530-8
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