The estimated parameters using RLS procedure are the optimum solution based on the condition that the sumofsquare of the forecasted errors is the minimum.
最小二乘法估算出的模型参数在预报误差平方和最小的条件下是最优解。
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The paper designs a sumofsquare function, which is an optimization mathematical model that makes the residual sumof squares of wax deposition rate between the calculated and the measured minimum.