同时，分别建立了回弹量的线性回归预测模型和BP神经网络预测模型。
Meanwhile, a linear regression model and a BP neural network model for predicting the springback quantity were set up.
文章提出了PSO优化参数的SVM回归预测模型，并将其用于短期电力负荷预测。
A short-term load forecasting model based on SVM is presented in which the parameters in SVM are optimized by Particle Swarm Optimizer (PSO).
基于变分贝叶斯及相空间重构理论，提出了含噪混沌时间序列相空间域线性回归预测模型。
We present a linearly regressive prediction model for noisy chaotic time series phase space based on variational Bayesian and phase space reconstructive theory.
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