Multivariate regression analysis is employed to predict the prices of mechanical and electric products according to historical prices.
依据历史价格，利用多元回归分析的方法预测机电产品的价格。
With the established fuzzy regression model, the future load value can be forecasted based on the fuzzy historical observation data.
该方法通过建立具有模糊回归参数的回归模型，可以直接由模糊观测数据预测出未来负荷值。
Predictive capability between the new model (principal components ANN model) and linear regression model for the same predictors is discussed based on the independent samples and historical samples.
将这种新的预测模型（主成分神经网络预报模型）与同样根据这些预报因子建立的逐步回归预报模型进行了对比分析。
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