1) multifraction approach
多重分形近似
2) fractal approximation
分形近似
1.
To shorten the matching time, the four level fractal approximation coding based on matching in neighborhood is presented.
为了缩短分形编码中值域块与定义域块池中的定义域块逐一匹配时间，提出了四级邻域匹配分形近似编码。
2.
A new method for the fractal approximation of an image block is presented.
提出了一种新的图像块的分形近似方法，该方法借助于像素点的邻近点以达到对图像块的最小均方分形近似。
3) approximate calculation of multiple integrals
多重积分近似计算
4) polygon approximation
多边形近似
1.
The problem of polygon approximation was formulated as one of minimizing cost function.
将曲线多边形近似问题转换为最小化代价函数的问题,利用模拟退火算法对其求解最优解,并采用启发式方法将曲线的局部特征作为先验知识引入退火过程加速其收敛。
2.
After filling in the edge pixels and eliminating image disturbances, a fast polygon approximation algorithm was implemented to get the polygon of the target with fixed angles for recognition.
提出了改进的多阈值八邻域像素比较边线检测算法，对得到的边缘像素进行填充，并在跟踪过程中消除轮廓上的短校及图像干扰，最后采用快速多边形近似算法，用多边形顶角及目标形状因子作为特征对目标进行识别。
3.
The object contour issplit into curve segments by a coarse-to-fine polygon approximation algorithm and the mo-ment invariants of each segment are extracted as the feature vector.
该方法利用多边形近似方法将目标轮廓分段，抽取目标轮廓每一小段的不变矩作特征，利用动态规划技术在段间距离表中寻找最佳路径，确定所有的匹配对，这些匹配对序列构成了目标与模型的局部匹配，可从局部匹配中计算匹配可信度。
5) polygonal approximation
多边形近似
1.
A novel split-and-merge method with ranking selection(RSM) is proposed for the polygonal approximation of curves.
将遗传算法的排序选择策略引入到传统的拆分与合并算法,提出一种基于排序选择策略的拆分与合并算法(RSM)来求解平面数字曲线的多边形近似,解决了传统的拆分与合并算法对初始解的依赖问题。
2.
A new polygonal approximation approach based on the Binary QPSO was also presented,having solved the restriction of the search bound in BPSO.
用二进制具有量子行为的粒子群算法求解平面数字曲线的多边形近似,解决了传统BPSO算法中粒子搜索范围受限的问题。
3.
First the tumor area is calculated by polygonal approximation, some value of area are approximated by Tchebyshev multinomial algorithm to get the expression about the change of area, then the volume of tumor is obtained by integral in the CT scope which contains the tumor.
首先对分割得到的肿瘤区域采用多边形近似法计算肿瘤面积,并通过采样的部分面积数据进行切比雪夫多项式最小二乘拟合,获得反映肿瘤面积变化规律的多项式,将多项式在包含肿瘤的切片范围进行积分计算肿瘤体积,在较少的数据量条件下提高了测量的精度。
6) approximate reanalysis
近似重分析
1.
Topology optimization and shape optimization examples were provided and results were compared between approximate reanalysis and exact reanalysis.
针对结构优化中结构分析计算量大的问题,基于组合近似重分析方法,提出了自适应近似重分析策略,即在满足指定近似精度时采用近似重分析,否则采用完全重分析。
2.
The technique combines importance sampling method in structural reliability with approximate reanalysis techniques in structural optimization, and can greatly decrease computing time of Monte Carlo method.
该方法将结构可靠度计算中的重要性抽样方法与结构优化中的近似重分析技术相结合，并引入误差带的技巧，显著减少了蒙特卡罗方法的计算量。
补充资料：多苯基多亚甲基多异氰酸酯
多苯基多亚甲基多异氰酸酯，简称PAPI，或称粗MDI，浅黄色至褐色粘稠液体．有刺激性气味。相对密度(20℃／20 ℃)1．2，燃点218℃。PAPI实际上是由50％MDI与50％官能度大于2以上的多异氰酸酯组成的混合物。升温时能发生自聚作用。溶于氯苯、邻二氯苯、甲苯等。PAPI的活性低，蒸气压低，只是TDI的百分之一，故毒性很低。
用于制造聚氨脂胶粘剂。也可直接加入橡胶胶粘剂中，改善橡胶与尼龙或聚酯线的粘接性能。贮存于阴凉、通风、干燥的库房内，远离火种、热源。严格防水、防潮，避免光照。
用于制造聚氨脂胶粘剂。也可直接加入橡胶胶粘剂中，改善橡胶与尼龙或聚酯线的粘接性能。贮存于阴凉、通风、干燥的库房内，远离火种、热源。严格防水、防潮，避免光照。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条