查询词典 moving average method

The average rate of volume shrinkage of oven-dried in Larix gmelini was 6.34%, the average rate of radial shrinkage of oven-dried in Larix gmelini was 1.98%, the average rate of tangential shrinkage of oven-dried in Larix gmelini was 4.23%. Variance of volume shrinkage of oven-dried in Larix gmelini was more significant among trees, and its value ranged from 4.48% to 7.59%. Variance of radical shrinkage of oven-dried in Larix gmelini was not obviously among trees, and its value ranged from 1.27% to 2.69%. Variance of tangential shrinkage of oven-dried in Larix gmelini was more obviously among trees, and its ranged from 2.73% to 5.00%. Difference of value of / among trees was obvious, and its value ranged from 2.15% to 3.58%.

兴安落叶松木材全干体积干缩率的平均值为6.34%，全干径向干缩率的平均值为1.98%，全干弦向干缩率的平均值为4.23%；全干体积干缩率的株间差异较显著，变异范围为4.48%-7.59%，全干径向干缩率株间差异不显著，变异范围为1.27%-2.69%，全干弦向干缩率株间差异较显著，变异范围为2.73%-5.00%；全干弦向干缩率与全干径向干缩率的比值株间差异较显著，变异范围为

First, the character clustering algorithm regards the character as our features and then it can cluster these sentences of our target words to the correct group without any other resources. The average precision is 66.1%. Second, in the concept clustering algorithm of the aggregate computing, we use HowNet as the knowledge base of our feature words and obtain the concepts of these words. We cluster the sentences which have the same or similar concepts of the feature words into the same group. And then we can complement some lacks of the character clustering algorithm. The average precision is 72.3%. Third, regarding the concept clustering algorithm of the sememe distance, we use the sememe distance to compute its concept similarity. It improved similarity measure of the concept clustering algorithm of the aggregate computing. It achieves 81% average precision and gets better cluster quality.

词形分群演算法不受语料资源限制，能将词形相似且词义相近的词汇所属的句子分到同一群，经过人工验证，得到了66.1%的平均正确率；基於集合计算的概念分群演算法使用了知网做为撷取特徵词汇的知识库，透过知网取得词汇的概念，将具相同或相似概念的特徵词汇所属的句子分成同一群，补足词形分群演算法的不足，得到72.3%的平均正确率；基於义原距离的概念分群演算法则利用义原间的距离计算特徵概念的相似度，进一步改善了基於集合计算的概念分群演算法在相似度衡量的问题，得到81%的平均正确率，达到更好的分群效果。

However, if comparing the average duration of all fixations, average size of all saccades, average horizontal/vertical angular resolution in the trial, there were no significant differences.

等等。但是，如果比较平均时间，所有的固定，平均粒径为所有扫视，平均水平/垂直角决议的审判，有没有显着差别。

Key factors affected wheat midge occurrence of Guanzhong district are the average daily temperature in January, the average daily temperature in March (X3), the average daily temperature in August of last year (X5) and precipitation in February (X8).Six prediction methods are selected to predict occurrence level of wheat midge.

本论文利用关中地区1933～2000年小麦吸浆虫的发生资料以及气象资料，通过逐步回归法筛选出了影响小麦吸浆虫发生的主要气象因子，即一月份平均温度(X_1)、三月份平均温度(X_3)、前一年八月份平均温度(X_5)、二月份平均降雨量(X_8)。

Like ghosts in the quarter that the data, the average score of 19.6 in addition to Duncan, below last year after the 20 mark once again, the average of the remaining pot 1.7, dissatisfied with his first single of two, while the average basket 06-07 tie plate 10.6 years, is also a career low, but the recent performance of the bottom may have sustained.

在季初那段鬼神般的数据之后，现在的Duncan除了平均得分19.6，继去年之后再次跌破20大关之外，平均火锅剩下1.7个，生涯首次单场不满两个，而平均篮板10.6追平06-07年，也是生涯新低，而且以最近表现看来还有持续探底的可能。

The reserves of oil and gas field can be calculated by singlewell's control area, which obtains the data of effective thickness, average porosity, average original oil saturation and average oil volume factor.

利用单井控制面积可以对油气区域进行储量计算，求出整个区域的油层有效厚度、平均孔隙度、平均原始含油饱和度及平均原油体积系数等数据。

To analyze the 10 climate factors (annual average temperature, extreme temperatures, frost-free period, annual sunshine hours, average wind speed, annual average relative humidity and rainfall, etc) in 35 Pinus ponderosa introduction areas of China by using principal component analysis, cluster analysis and correlation analysis.

对我国35个美国黄松引种地的年平均气温、极端温度、无霜期、年日照时数、平均风速、年平均相对湿度和年降雨量等10个气候因子及美国黄松生长状况进行了主成分分析、聚类分析和相关性分析。

Traditional sports teaching method,already could not adapt the new times sports curriculum to reform; this article means which through the literature law, the questionnaire investigation law, the cut-and-try method unifies, carries on the comparison to the traditional each sports teaching method, discovered the sports competition teaching method can adapt the new times student sports demand; the competition teaching method is unifies the traditional teaching method in the foundation one new teaching method, proved through the experiment, its teaching effect is good.

一些传统的体育教学思想、教学理念、教学方法、教学模式已经不能够适应现代教学的需要，在此过程中，为提高教学质量，就必须对教学方法进行改革。作为体育教学，如何进一步转变体育教育思想，深化体育教学改革，摆脱旧的传统的教学体系、思想体系和理论模式，逐步形成一个新型的，具有中国特色的教学过程和教材体系，使我国体育教学面向未来社会的需要，跟上21世纪学校体育发展的需要，是本文探讨和研究的问题。

Among used machine learning methods, the gradient descent method is widely used to train various classifiers, such as Back-propagation neural network and linear text classifier. However, the gradient descent method is easily trapped into a local minimum and slowly converges. Thus, this study presents a gradient forecasting search method based on prediction methods to enhance the performance of the gradient descent method in order to develop a more efficient and precise machine learning method for Web mining.However, a prediction method with few sample data items and precise forecasting ability is a key issue to the gradient forecasting search method. Applying statistic-based prediction methods to implement GFSM is unsuitable because they require a large number of data items to model a prediction model. In the contrast with statistic-based prediction methods, GM(1,1) grey prediction model does not need a large number of data items to build a prediction model, and it has low computational load. However, the original GM(1,1) grey prediction model uses a mathematical hypothesis and approximation to transform a continuous differential equation into a discrete difference equation in order to model a forecasting model.

其中梯度法是一个最常被使用来实现机器学习的方法之一，然而梯度法具有学习速度慢以及容易陷入局部最佳解的缺点，因此，本研究提出一个梯度预测搜寻法则(gradient forecasting search method， GFSM)来改善传统梯度法的缺点，用来提升一些以梯度学习法则为基础的分类器在资讯探勘上的效率与正确性；而一个所需资料量少、计算复杂度低且精确的预测模型是梯度预测搜寻法能否有效进行最佳解搜寻之关键因素，传统统计为基础之预测方法的缺点是需要较大量的数据进行预测，因此计算复杂度高，灰色预测模型具有建模资料少且计算复杂度低等优点，然而灰色预测理论以连续之微分方程式为基础，并且透过一些数学上的假设与近似，将连续之微分方程式转换成离散之差分方程式来对离散型资料进行建模及预测，这样的作法不尽合理，且缺乏数学理论上的完备性，因为在转换过程中已经造成建模上的误差，且建模过程仅考虑相邻的两个资料点关系，无法正确反应数列未来的变化趋势。

A mixed method of conjugate gradient method and steepest descent method ;2. The Modified Steepest Descent Method──Best Point in Steepest Descent method;3. This paper presents the mathematical model for the optimization of heterogeneous components, and the method using sensitivity analysis and steepest descent method to optimize material properties, the component is then identified.

阐述了非均质材料零件设计优化的数学模型，并采用灵敏度分析以及最速下降法对其各个材料区域的材料性能进行设计优化，得到最佳材料性能参数后，再从非均质材料数据库中找到相应的工程材料，合成满足设计要求的非均质材料零件该方法为设计者提供了切实可行的非均质材料零件的材料设计方

Don not attempt to do something which you can not to do.

不要企图做那些办不到的事情。

The expression of CTGF and TNF-αweredetected by immunochemistry and the number of Clara Cells was calculated.

光镜下观察肺组织的病理变化，采用免疫组化染色观察肺组织中结缔组织生长因子和肿瘤坏死因子-α的表达和Clara细胞的数量。