Based on the basic principle and modeling method of partial least-square regression (PLSR), establishing the mathematical model for parameter prediction of the steam turbine units.
根据偏最小二乘回归的基本原理和建模的基本思路，建立数学模型并将其应用于电厂机组的参数预测中。
The optimum algorithm of least-square method, the measuring principle, the system structure, the disposition of software, the test result and the analysis of error are also given.
本文阐述最小二乘法的优化算法、仪器的测量原理、系统组成和软件配置，并给出试验结果及误差分析。
Multivariable equation set fitting method is derived on the basis of least square method principle.
根据最小二乘法的求解原理，建立了一种适用于多变量方程组系数参数的拟合算法。
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