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支持向量机在炸药爆热预测中的应用

Study on Prediction of the Heat of Explosion Based on Support Vector Machine
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摘要 根据支持向量机(SVM)理论,基于支持向量回归机(SVR)原理。利用Matlab语言,设计炸药爆热预测模型,通过已知炸药爆热预测,对模型进行验证,并对另外几个炸药进行预测。结果表明,SVR模型对爆热的预测可以得到较好的预测结果,运行速度较快,精度较高,具有良好的应用前景,可为爆热预测提供理论依据。 Based on the analysis on the support vector machine(SVM) and support vector regression(SVR),a support vector machine model was established to predict the heat of explosion with Matkb software.The model was trained and verified by predicting the known heat of explosion.And the unknown explosion was predicted.The result showed that good results of the prediction were obtained with the SVR model,and its computing speed is faster.This method has a good application prospect,and can provide the theoretical basis for explosion heat prediction.
出处 《化工中间体》 2013年第10期45-50,共6页
关键词 支持向量机(SVM) 支持向量回归机(SVR) MATLAB语言 预测 support vector machine(SVM) support vector regression(SVR) Matlab software prediction
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