Classification prediction of rockburst in railway tunnel based on hybrid pso-bp neural network

HIGHLIGHTS

• who: Min Zhang from the Department of Geotechnical Engineering College of Civil Engineering, Tongji University, Shanghai, China have published the research work: Classification Prediction of Rockburst in Railway Tunnel Based on Hybrid PSO-BP Neural Network, in the Journal: Geofluids 4 of 29/06/2022
• what: In this paper, the hidden layer of BP neural_network is one layer, and the number of neuron nodes is calculated by BP neural_network based on K-means clustering.
• how: 90 rockburst example data are used as the research samples for rockburst intensity level prediction (tunnel samples account . . .
  

   

  

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