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Application of Variable Dimension Expansion-selection Method in Hybrid Particle Swarm Algorithm in Influence Gas Emission
Pages: 15-17,41
Year: Issue:  10
Journal: Coal

Keyword:  nonlinearvariable augmented -screeninghybrid particle swarm optimizationquasi-linear regressionprediction;
Abstract: There exist nonlinear height between abstract gas emission and its influencing factors , it provided variable augmented -screening method in order to improve the prediction accuracy of gas emission ,namely nonlinear term .Hybrid particle swarm optimization algorithm with variable subset from the candidate a number of variables in the optimum ,the optimal subset of variables to establish the linear gas emission quantity prediction model .The measured data will be divided into modeling data and test data ,test results show that the prediction model of variable dimension variable augmented -screening method based on high precision ,linearity test results are bet-ter than the stepwise regression method ,neural network method and pure regression method ,and it has certain application value .
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