The rate of training is improved by introducing the orthogonal selection applying for smart rotor to the selection of training cases in neural modeling.
在神经网络建模的样本选取上，引入了适合于智能旋翼的正交选择法，大大地提高了训练的效率。
The experimental results show that, automatic compiler tuning can get better performance than the manual tuning in the training cases and in the new cases, they get close performance.
实验数据表明，基于机器学习的编译自动调优技术对已知实例能得到比手工调优更好的性能，而对未知实例的预测能力也能达到跟手工调优接近的水平。
The experimental results show that, automatic compiler tuning can get better performance than the manual tuning in the training cases and in the new cases, they get close performance.
实验数据表明，基于机器学习的编译自动调优技术对已知实例能得到比手工调优更好的性能，而对未知实例的预测能力也能达到跟手工调优接近的水平。
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