给出基于最小一乘准则的非线性回归模型的参数估计算法。
In this paper, a parameters evaluation algorithm based on the least absolute criteria for non linear regress is developed.
为此，结合统计学习理论的研究成果，建立了基于最小一乘准则的最优回归模型，并将其应用于商业银行的信贷风险评估中。
Thus, combined with research results of statistic learning theory, the optimal regress model based on least-absolute criteria, or LaOR model was proposed to solve the problem.
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