Study on coupling algorithm on coal mine gas emission forecast model
Abstract：A new CIPSO-ENN（Chaos Immune Particle Swarm Optimization-Elman Neural Network）coupling algorithm was presented to predict gas emission in the view of the coal mine characteristics such as complicated,time varying and nonlinear etc.CIPSO algorithm was merged with dynamic feedback Elman neural network to optimize weight and threshold.The network model of gas emission quantity prediction was established by CIPSO-ENN,with the historical data of mine actual monitoring to experiments.The results show that this model has faster convergence rate,higher prediction accuracy and robust characteristics than the other models.
Keywords：CIPSO-ENN coupled algorithmcoal mineabsolute gas emission quantityforecastnonlinear system
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：5( 654-658 )