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Due to the non-liner, poor selectivity and cross-sensitivity of the combustible gas in the sewer, an analysis prediction model of the combustible gas in the sewer has been established based on the PSO-SVR machine, the model has introduced a new particle swarm algorithm to support the vector regression machine so that it can optimize the important parameters, realizing the automatic determination of...
In this study, a hybrid model using multivariate adaptive regression splines (MARS) and SVR is proposed for sales forecasting of information technology (IT) products. Support vector regression (SVR) has become a promising alternative for forecasting due to its generalization capability in obtaining a unique solution. However, one of the key problems is that SVR can not identify which forecasting variables...
Support vector machines are a kind of novel machine learning methods, which have become the hotspot of machine learning because of their excellent learning performance. A algapsilas growth prediction model is established by using support vector regression (SVR) method. The method is illustrated through examples, the results obtained by using SVR method are compared with that from neural network method...
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