计算法则

A well-known example of an algorithm is Euclid's algorithm, which is a process for calculating the greatest common divisor of two integers m and n.

在运算法则中一个著名的例子就是计算两个整数m和n的最大公约数的欧几里德运算法则。

Rout spearheaded the biochemical studies, Chait the mass spectrometry-based identification and characterization of the proteins and protein complexes and Sali was in charge of creating computational techniques that could take all this data and put it into countless configurations until it found the ones that fit.

萨利是该项研究的主要参与者。路特负责生物化学方面的研究，而查特利用质谱技术确定和描述蛋白质和蛋白质复合体，萨利则负责设计出计算法则，对所有实验数据和数不胜数的结构进行运算，寻找最合适的一个结构。

This paper described the basic concept and expressions of the decibel and Neper.

本文阐述了分贝与奈培的基本概念和表示方法，同时还说明了该计量单位的优点、计算法则和应用范围。

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。

Permutation and Combination, Independent events, Concepts of Probability.

教学目的：通过学习掌握概率的基本概念和计算法则，排列组合的区别及应用等。

The ratio of stock right calculated according to venture investment experiential principles is sound and easy to accept. It can give quantitative analysis support to the venture investment practice.(6)According to the theory of the real option, the author derived value formula of the real option fixed price and investment criterion. Based on above, the paper further research for optimal investment strategy of real option in monopolizing and competition under asymmetry information, and built the value model of real option for the investor and administrator by using the theory of the principle trust-agent Meanwhile, the solution of real option optimal investment and the shift value are derived applying the maximal principle .

针对高新技术企业发展的特点：研制周期长、投资费用高、每阶段风险水平特征差别大，运用实物期权理论与计算方法，通过研究建立嵌入期权现金流量图深入分析计算了企业发展中风险投资的最优策略、股权占有比例问题，对不确定性问题由于采用了有关实物期权计算公式，所以计算结果比基于传统的现金流量图的NPV方法更加客观、科学，同时按照风险投资经验法则计算出的股权占有比例合理易于接受，可为企业风险投资实践活动提供数量分析支持。

This paper presents the reproducing kernel wavelet functionrepresentation in frequency and time domain by residue principle for specificreproducing kernel space 〓.

对具体的再生核空间〓，用留数计算法则，巧妙地给出频域与时域上的再生核小波函数表达式。

In this class we are going to learn the essence of addition and subtraction of decimals.

我们今天学习小数加、减法的意义及计算法则。1。学习例1。

In this class we are going to learn the essence of addition and subtraction of decimals .

我们今天学习小数加、减法的意义及计算法则。

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。

For a big chunk of credit-card losses; the number of filings (and thus charge-off rates) would be rising again, whether

年美国个人破产法的一个改动使得破产登记急速下降，而后引起了信用卡大规模的亏损。

Eph. 4:23 And that you be renewed in the spirit of your mind

弗四23 而在你们心思的灵里得以更新