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。
In this paper, a fuzzy regression model was applied in the indexes of wheat flour to obtain the fuzzy relationship among the indexes.
通过把模糊回归模型应用到小麦面粉指标中，得出关于小麦面粉指标间的模糊关系。
The residual error amendment model is derived from fuzzy linear regression model, it can find the most suitable linear function to make the line difference sum in ideal linear regression minimum.
该模型是在模糊线性回归模型的基础上推导出来的，它可以寻找最合适的线性函数使理想线性回归中的线差和达到最小。
Proposed the model of fuzzy chance constrained programming with fuzzy decision, and did some research on fuzzy linear support vector regression (algorithm) on this base.
给出带有模糊决策的模糊机会约束规划模型，在此基础上，研究模糊线性支持向量分类机(算法)和模糊线性支持向量回归机(算法)。
For the complexity and uncertainty of load, a fuzzy linear regression model combining fuzzy mathematics with linear regression model is used to forecast the variation sections of load.
针对负荷影响因素的复杂性和不确定性，结合模糊数学和线性回归模型，讨论应用模糊线性回归模型预测负荷的变化区间。
By introducing fuzzy control variable, the paper proposes a fuzzy multiple linear regression model which can get more effective and more understandable fuzzy regression expression.
将模糊集理论引入多元线性回归中，通过模糊控制变量，可以得出更符合实际，也更容易为人所理解的回归模型。
Based on the classical model of liner regression and considering effects of fuzzy factors on load forecasting, a liner regression method of tow-layer fuzzy factors for load forecasting is established.
基于经典的线性预测回归模型，引入了模糊因素对预测结果的影响，构成了二级模糊因素的多元线性回归法。
Based on the classical model of liner regression and considering effects of fuzzy factors on load forecasting, a liner regression method of tow-layer fuzzy factors for load forecasting is established.
基于经典的线性预测回归模型，引入了模糊因素对预测结果的影响，构成了二级模糊因素的多元线性回归法。
应用推荐