Kernel Parameter Selection 核参数选择 Optimal Parameter Selection Algorithm 最优参数选取 Optimization Parameter Selection 优化参数选择 ..
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并提出使用相关系数作为算法最优参数选取和性能评价的标准，计算机仿真实验结果证明了该方法的可行性。
The correlation coefficient is proposed as a criterion to determine the optimal parameter, and evaluate the performance of algorithms. The simulation results demonstrates its possibility.
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。
By apriori choosing regularization parameter, optimal convergence order of the regularized solution is obtained.
同时并讨论了算法的收敛性和最优参数的选取。
The convergence of the method is analyzed, and the optimum parameters are proposed.
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