It is shown that the method can achieve an optimal value of the parameter in the whole range, and therefore provides an efficient way for obtaining an optimal regularization solution.
并对一桁架的荷载分布进行了重构，结果表明，这一方法是寻求最优正则解的一条有效途经。
By apriori choosing regularization parameter, optimal convergence order of the regularized solution is obtained.
通过适当选取正则参数，证明了正则解具有最优的渐近收敛阶。
In the end, the genetic algorithms which has better precision and efficiency is adopted for finding the optimal regularization parameter based on the solution rule of regularization parameter.
最后根据正则化参数的确定原则，采用精度高和适应性更好的遗传算法确定最优正则化参数。
In the end, the genetic algorithms which has better precision and efficiency is adopted for finding the optimal regularization parameter based on the solution rule of regularization parameter.
最后根据正则化参数的确定原则，采用精度高和适应性更好的遗传算法确定最优正则化参数。
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