Study of the Differentiating Model for Coal Structure Types Based on BP Neural Network
Abstract：In order to solve the difficulty in detail recognition about subdivision of coal structure types, a differentiating model that combined BP neural network with ultrasonic reflection method was brought forward. Coal structure types were recognized based on a reasonable consideration of ultrasonic speed, ultrasonic attenuation coefficient, characteristics of uhrasonie transmitting and other parameters relating to types of coal structure. It is significant for the improved ultrasonic differentiating model to forecast coal and gas outburst.
Keywords：coal structure typesBP neural networkcoal ultrasonic attenuation coefficientcoal uhrasonie speed
Publication Date：2011-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)