When the training sample is very large, RLS algorithm is used to train the networks.
在训练样本很大时，选择利用RLS算法来训练网络。
The results of simulation experiments show effective reduction for large-scale training sample set and improvement of operation efficiency of this algorithm, guaranteeing the classification precision.
仿真实验表明，该算法能在保证不降低分类精度的前提下，对较大规模的样本进行有效的缩减，提高运算效率。
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