辽宁工程技术大学学报（自然科学版）2017，Vol.36Issue(11)：1126-1130,5.DOI:10.11956/j.issn.1008-0562.2017.11.002
瓦斯涌出量的AFSA-ELM预测模型
Gas emission AFSA-ELM prediction model
摘要
Abstract
To predict gas emission accurately,AFSA-ELM forecasting model for gas emission is proposed.This model uses AFSA to optimize the input connection weights and threshold of ELM hidden layer.In order to improve its generalization ability,the mean of root-mean-square error of 10 times 10 fold cross-validation is used to be the objective function value of AFSA.Forecasting experiment is performed on 18 groups of gas emission data.The result shows that performance of ELM has been optimized by AFSA,and AFSA-ELM forecasting model has a higher degree of fitting,better prediction accuracy and generalization ability.The result proves that AFSA-ELM model can perform the prediction of gas emission effectively.关键词
极限学习机/人工鱼群算法/瓦斯涌出量/预测精度/泛化能力Key words
extreme learning machine/artificial fish swarm algorithm/gas emission/prediction accuracy/generalization ability分类
资源环境引用本文复制引用
温廷新,孙雪..瓦斯涌出量的AFSA-ELM预测模型[J].辽宁工程技术大学学报（自然科学版）,2017,36(11):1126-1130,5.基金项目
国家自然科学基金(713711091) （713711091）
辽宁省社科基金(L14BTJ004) （L14BTJ004）
