经过多次试验，我们解决了独特长度的螺纹杆，通过椅子上的小切口用螺栓连接在一起。
After many tests, we settled on threaded rods of unique lengths that were connected by bolts through small incisions (ear-piercings) in the chair.
给定冲突概率时，该流标识的比特长度可以根据一个由观察窗口和流ID值域导出的关系式求出。
The bit length of flow ID selected under given confliction probability can be conducted from an equation deduced from the observing window and flow ID range.
实践表明：两种模型对毛条的豪特长度、长度变异、短纤维含量和精梳落毛率均能进行较为准确的预测，其中人工神经网络预测模型预测效果优于统计回归模型。
Application experience has been shown that both methods have good prediction performance in which the ANN method has better prediction performance in comparison with multiple regression method.
实践表明：两种模型对毛条的豪特长度、长度变异、短纤维含量和精梳落毛率均能进行较为准确的预测，其中人工神经网络预测模型预测效果优于统计回归模型。
Application experience has been shown that both methods have good prediction performance in which the ANN method has better prediction performance in comparison with multiple regression method.
应用推荐