FDNet: Knowledge and Data Fusion-Driven Deep Neural Network for Coal Burst Prediction

Coal burst prediction is an important research hotspot in coal mine production safety. This paper presents FDNet, which is a knowledge and data fusion-driven deep neural network for coal burst prediction. The main idea of FDNet is to extract explicit features based on the existing mine seismic physi...

Full beskrivning

Sparad:
Bibliografiska uppgifter
Huvudupphovsmän: Anye Cao, Yaoqi Liu, Xu Yang, Sen Li, Yapeng Liu
Materialtyp: Artigo
Språk:Inglês
Publicerad: MDPI AG 2022-04-01
Serie:Sensors
Ämnen:
coal burst
coal mine safety
fusion-driven
deep neural network
Länkar:https://www.mdpi.com/1424-8220/22/8/3088
Taggar: Lägg till en tagg
Inga taggar, Lägg till första taggen!

Liknande verk