- 更多网络例句与特征曲线类型相关的网络例句 [注：此内容来源于网络，仅供参考]
-
In this paper, mathematical models of soil-water characteristic curve are divided into four types based on the patterns of mathematical models.
本文对土水特征曲线数学模型进行了研究，依据这些模型的数学表达式形式，将其划分为4种类型。
-
In the 65 recorded neurons, the results showed: Characteristic frequency , minimum threshold and response latency was between 18.9 and 76.7 kHz (42.94 ± 11.29), 29 and 80dB SPL (58.65 ± 12.62), 3.1 and 13.4 ms (6.10 ± 1.47), respectively; CFs increased with the recording depth, but CF and MT were not correlated; There were three different types of discharge patterns in the IC, including phasic pattern (73.9%), chopper (15.4%) and tonic (10.7%); The types of frequency tuning curves were all V-shaped, most of which were wide type and few were narrow type.
结果发现，在所得的65个下丘神经元中：特征频率在18.9～76.7kHz(42.94±11.29)之间，最小阈值在29～80dB SPL(58.65±12.62)之间，潜伏期在3.1～10.4ms(6.10±1.47)之间；特征频率随记录深度的增加而增大，与最小阈值之间没有显著相关性；发放类型包括相位型(73.9%)、梳齿型(15.4%)和紧张型(10.7%)3种基本类型；频率调谐曲线均为开峰型，多数神经元(72.3%)调谐曲线较宽阔，少数(27.7%)较狭窄，并且多数神经元的频率调谐曲线高频边比低频边陡。
-
The thought of defining characteristic section and dividing superelevation transition segment into several smaller segments according to the characteristics and types of S-type curve s superelevation transition segment is put forward.
根据S形曲线超高过渡的特点、类型确定超高过渡段中的特征断面，提出S形曲线超高过渡分段处理的思路，并给出 S型曲线超高过渡段上任意桩号处、横断面上任意点超高值的简单计算公式。
-
The researches show that fan delta, alluvial plain, delta, lacus and sublacustrine fan develop, each sedimentary facies are divided into several subfacis again. The probability cumulative grain size curves incude "uphill arched arc" pattern, one segment pattern, bi-segment pattern, tri-segments pattern, multi-segments pattern, complicated bi-segment pattern, complicated tri-segments pattern,"low slope multi-segments" pattern,"high slope multi-bouncing population-one suspension population" pattern,"high slope multi-bouncing population-one suspension population-transitional zone" pattern,"high slope and multi-bouncing population" pattern,"broadly uphill arched arc" pattern and so on, each subfacis has own peculiar probability cumulative grain size curves.
研究表明，该地区发育的沉积相有扇三角洲、冲积平原、三角洲、湖泊、湖底扇，每一种沉积相又分为几种沉积亚相类型；该地区碎屑岩的粒度概率累积曲线特征主要包括：&上拱弧形&式、一段式、两段式、三段式、多段式、复杂两段式和复杂三段式、&低斜多段&式、&高斜多跳一悬&式和&高斜多跳一悬夹过渡&式、&高斜多跳&式、&宽缓上拱&式等，每种沉积亚相类型对应其独特的粒度概率累积曲线特征。
-
This paper establishes cubic spline function, analyzes subsection curve function and curve slope and curvature, at last decides to place the curve especial points which can be obtain easement curve length and other line parameters, such as the ZH point (end of line and beginning of transition curve), the HY point (end of transition curve and beginning of circular curve), the QZ point, the YH point (end of circular curve and beginning of transition curve), the HZ point (end of transition curve and beginning of line).
针对公路平面线形的8种组合类型，其线形元素特征则由最基本的直线、圆曲线、缓和曲线组成的特点，解析三次样条函数模型，得分段曲线函数、曲线斜率、曲率，从而确定曲线特征点（直缓ZH点、缓圆HY点、曲中QZ点、圆缓YH点、缓直HZ点）位置，进而得到曲线缓和曲线长度及其他线形参数。
-
The findings indicated that, the Japonica rice RVA profile characteristic is the concurrently Indica rice nature with the glutinous RVA profile characteristic continuously change body, assumes 5 kind of characteristics class groups, the few idioplasms has the glutinous starch RVA profile characteristic, also has some idioplasms for the starch RVA profile characteristic of Indica rice, the partial idioplasms have the high quality RVA profile characteristic, namely setback for the negative value, the overwhelming majority idioplasm RVA profile characteristic approx
研究结果表明，粳稻的RVA谱特征是兼具籼性与糯性RVA谱特征的连续变化体，呈5种特征类群，少量种质具有糯性淀粉RVA谱特征，即还有一些种质表现出为籼性淀粉RVA谱特征，部分种质具有优质的RVA谱特征，即消减为负值，绝大多数种质的RVA谱特征(约占样本数的85%)，其曲线的显著特征为消减值在250-1000cp。籼稻的RVA谱特征的分化亦呈现为多态性，主要表现为峰值粘度、最终粘度与消减值的分异性，在籼稻种质材料中主体RVA谱类型的特征表现为消减值在1000-2000cp间。特异的分化出3种类型，第一类表现为峰值粘度与消减值均在2000cp
-
MR images was analyzed include tumor shape,margin, internal enhancement characteristics,distribution,and time-signal intensity curves,maximam enhancement ratio,early enhancement ratio and so on.The ADCs of lesions were calculated on ADC maps.Univariate and multivariate analysis of MR imaging data were performed to find the strongest discriminators and the Logestic regression model was established to predict the probabilities for malignancy.
由放射科医生采用双盲法阅片，根据乳腺MR影像报告及数据系统(BI-RADS MRI)，将病变按照不同形态学表现分为肿块和非肿块性病变两组，分析形态学表现(形状、边缘、分布特征、内部增强特征)、血流动力学表现(时间-信号强度曲线类型、最大增强率、达峰时间、早期增强率)，并结合ADC值，应用SPSS15.0软件进行单变量及多变量分析，挖掘有意义恶性征象，建立回归模型，计算其敏感性、特异性、准确性、阳性预测值和阴性预测值。
-
It is shown that it is difficulty to differentiate each vegetation type among sub-tropical evergreen forest, sub-tropical coniferous forest and sub-tropical deciduous forest because of the mixture of their tree spectra. According to the reflection index in the wavelengths of 750 nm to 1 100 nm, the tree species can be divided into 4 groups with descend in reflectivity. Each tree specie can be differentiated from each other according to its slope of the spectrum curve and its reflection index in the wavelengths of 770 nm to 1 010 nm for each forest vegetation type. The unique first order derivative feature can be used to identify litsea, alder, fir, red birch, southwest birch, large schima confertiflora, taiwania flousian and small leaf schima confertiflora.
研究表明：亚热带常绿阔叶林、亚热带针叶林和亚热带落叶阔叶林等植被类型，因其树种间光谱特征混淆严重，而难以彼此区分；根据其反射率在750~1 100 nm范围上的差异，可将其归为4类；就各植被类型而言，其树种间在光谱曲线坡度，以及在770~1 010 nm范围上具有显著差异，可据此将其区分；木姜子、桤木、杉木、红桦、大叶木荷、秃杉和小叶木荷等因具有独特的光谱一阶导数特征，据此可以识别提取。
-
Analysis of the well test curves and recognition of the geology characteristics using dynamic methods are benefit for further exploration and development in thi...
通过分析不稳定试井曲线类型，用动态的方法认识地质特征，为四川盆地宜宾嘉陵江组气藏的勘探和开发提供一些帮助。
-
The soil moisture parameters of main paddy soil o f Tai Lake region were studied. The results were as follows.
太湖地区主要水稻土类型的水分参数研究结果表明，水稻土 4个土层的土壤水分特征曲线基本一致。
- 更多网络解释与特征曲线类型相关的网络解释 [注：此内容来源于网络，仅供参考]
-
characteristic class：特征 曲线类型
character class 字符类别 | characteristic class 特征 曲线类型 | characteristic class of a fibre bundle 纤维丛的示性类
-
Fagus lucida：水青冈
本文用定性和定量的方法对亮叶水青冈(Fagus lucida)群落特征、结构、类型、动态、利用与保护进行初步研究,结果表明:①亮叶水青冈种群重要值达222-728,表现为相对纯林;②群落的物种多样性较低;③亮叶水青冈径级株数曲线呈近似正态分布;