Research on Electromagnetic Emission Prediction Model in Fracture of Coal and Rock Based on Wavelet Neural Network
Abstract：Aiming at the features of the electromagnetic emission signal, an electromagnetic emission prediction model in fracture of coal and rock is established by using wavelet neural network. The max-rain ant colony algorithm is used to train the initial parameters of network and to improve the performance of network, and by introducing the disturbance factor and punishment factor to solve local and slow convergence problems of the algorithm. With coal samples of Kailuan as example, the application results show that the model has high accuracy, fast response, better real-timelines and good application prospect.
Keywords：wavelet neural networkelectromagnetic emissionmax-min ant colony algorithmprediction model
Publication Date：2012-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：3( 19-21 )