FVF has been studied for a long history. Quantitative prediction was commonly used in practice.
关于货运量预测的研究已有很长的历史，在实际中一般都采用定量预测的方法。
One of the aims in the design of 3D fabric parameters is to meet the requirement of fiber volume fraction (FVF).
通过分析三维正交机织物单元体的结构，可以计算经纱、纬纱和捆绑纱的截面尺寸，建立纤维体积含量与织物参数间的关系。
Recently grey prediction method and neural network, which have still great research potential, are the hot topic in the field of FVF research.
灰色预测法和神经网络法是当前预测研究领域中的热点，有很大的研究空间。
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