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1)  equal interval
等间距
1.
Seventeen(six groups) brick masonry columns wrapped by equal interval GFRP sheets and six(two groups) brick masonry columns for comparison were tested under axial compression.
本文进行了17个(六组)玻璃纤维(GFRP)片材等间距包裹加固砖砌体柱和六个(二组)对比砖柱的轴压试验。
2.
First a function is used to reduce each gray frequencies to shorten the gap between the maximum and the minimum gray frequencies,then classic histogram method is used for the new array,so the new valid gray level is obtained;at the last the gray level is reconstructed with equal interval in the whole display region.
先用一个函数来缩小最大的灰度频数与最小灰度频数之间的差距以使其更好保留细节,然后对有效的灰度级进行等间距处理以使图像在整个显示范围内显示。
2)  Method of equal space
等间距法
3)  nonequidistance
非等间距
1.
The paper analysed the existing fatigue experimental data processing,and gave a nonequidistancegrey GM(1, 1) model and method on the fatigue experiment data processing and on-line control.
在分析疲劳试验数据处理的现状后,提出疲劳试验数据处理及疲劳试验数据在线监测的非等间距的灰色GM(1,1)模型与方法。
2.
Based on the study of nonequidistance sequence, we have applied nonequidistance accumulated generating to the modeling of nonequidistance, and made the original model improved.
在研究非等间距序列的基础上 ,本文将非等间距累加运用于非等间距序列的建模过程中 ,使原有模型得到改进 。
4)  equal distance of time
等时间距
5)  unequal spacing
不等间距
6)  unequal interval
非等间距
1.
Based upon the building mechanism of unequal interval grey forecast model in order to weaken the changing scope of data,the method to extract the m root of accumulated sequence was used.
基于非等间距灰色预测模型的建模机理,通过对一次累加生成序列的开方运算来弱化序列的变化幅度,利用背景值取代传统的中心值,从而得到了基于中心逼近化的非等间距灰色预测模型。
2.
Unequal interval grey revised model was built based on unequal interval grey model and grey revised model,which is fit for the original series with unequal interval and sharp variations.
针对工程中的非等时空距问题和原始数据序列发生转折性变化的情况 ,在非等间距 GM模型和灰色预测校正模型的基础上 ,建立了非等间距灰色预测校正模型。
3.
According to the building mechanism of gray model,a combination forecast method of unequal interval gray forecast model is presented to solve practical problems for the number sequences.
对于非等间距原始数据序列,根据灰色预测模型建模特点,提出了一类非等间距灰色组合预测方法,弥补了传统非等间距原始数据预测模型的不足,提高了灰色预测的精度。
补充资料:长等短等
1.犹言左等右等。谓等待久。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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