利用K均值聚类及分段三次Hermite插值法,实现了样本数据的等距化;搭建LSTM-BPNN-SVR预测模型强化了对样本数据特征信息的提取,实现了对地铁车辆轴箱温度高精度预测的目的.通过与实测数据进行对比,该模型预测精度可达到99.15%,验证了该方法的有效性;通过与其他六种常规模型的预测结果对比,LSTM-BPNN-SVR预测模型具有更高的...
Additionally, the generalization ability of the jacking force prediction models was examined using a new dataset, and the PSO-SVR model exhibited superior performance over the PSO-BPNN model. The study highlight...
Hence, different algorithms (BPNN, SVR, RF, LSTM, LSTM-SVR) are utilized to perform multivariate non-Gaussian wind pressure conditional simulation and comparative analysis using prediction measures (MAPE, RMSE, R). In this paper, the non-Gaussian characteristics of the wind pressure data measured ...