梳理后，阻燃纤维的短纤维含量达到71%。
After combing, the short fiber content of the grafted fibers reached 71%.
分析了漂白马尾松化学浆、漂白芦苇化学浆、马尾松热磨机械浆和废纸浆的长、中、短纤维含量以及它们的总电荷量和表面电荷量。
Four pulps were sieved to long, middle and short fiber, and total charges and surface charges of the each fiber constituent were determined.
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.
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