参数表示

In the spline interpolation for well trajectory ,each coordinate of the well trajectory can be indicated as a 3-order spline which variated with well depth.

在计算实钻井眼轨迹的样条插值法中，假设井眼轨迹的每个坐标分量都可以表示成以井深为参数的分段三次样条函数。

Soil water characteristic curve is one of important parameters for modeling waterflow and solutes transport.

0引言土壤水分特征曲线(soil water characteristic curve，SWCC)是表示土壤水吸力和土壤含水量之间关系的曲线，是模拟土壤水分运动和溶质迁移的重要参数之一。

The last section of chapter 3 discusses the local sensitivityof the Bayes VaR when the contaminated probability ε close to zero. Consider adifferent contaminated class 〓,where Q consists ofsuch functions q that π can be regulized to be a proper probability distribution.

当〓是由定义在参数空间上的所有概率分布组成的分布类时，在没有观测数据和存在观测数据两种情况下，我们分别得到了基准先验分布〓下BayesVaR在ε污染类上对应概率水平的变化范围，该范围越小，表示基准先验分布下BayesVaR的稳健性越好，该范围越大意味着稳健性越差。

Mu' is the mean angle expressed in radians, and 'kappa' is the concentration parameter.

mu'是指角弧度表示，和'kappa'是浓度参数。

Optimizing the model results in location the two edges of road which is represented as a vectorgraph by the parameter of parallel parabolas.

该模型的优化过程实现了道路的定位，得到的结果是平行抛物线的参数，实现了道路的矢量表示。

As an application,generating quasi arc-length parameterization of PH curves is also discussed.

在CAGD中，曲线曲面一般用多项式或有理多项式表示，因此求解多项式函数的反函数是CAGD中的一个基本问题，它在曲线的准弧长参数化、曲线隐式化、曲线求交等问题中都有非常重要的作用[1-2]。

This method makes up the shortage of traditional decision network planning and makes the blue print choice more reasonable. Because this method comprehensively considers the six aspects of the project. The six aspects are duration ,cost, quantity, technique risk, strategy intention and maintenance. Second, it researched the calculation method of time parameters based on fuzzy triangle number of decision network planning. At last, it studies the fuzzy duration-cost optimization of decision network planning.This dissertation makes use of fuzzy theory to the decision network planning.

首先将模糊综合评判方法应用于决策节点方案选择，从工期、费用、质量、技术风险、战略意图和维护需求等六个方面全面比较各个备选方案，与传统网络计划在进行方案决策时只注重工期和成本两个方面相比，决策效果有所改善；其次，研究了采用模糊三角数表示工序工期情况下的决策网络计划时间参数计算方法以及模糊工期压缩等问题；最后，对模糊决策网络计划工期—成本优化方法进行了探讨。

The method of performance analysis and optimal structure design for steam ejector heat pump is introduced. A computer software is designed to fulfill these functions.

针对蒸汽热泵工质的特点，从气体动力学原理出发，将热泵的工质与性能参数用气体动力函数来表示，对具有吸入室、混合室和扩散室热泵的整体性能进行分析，提出了喷射式热泵性能分析计算方法，并编制了相应的计算机软件。

The four models were analyzed and normalized. We studied the procedure and method of building forest fire model base. Model base was build by object-oriented method based on category of model. Forest fire spreading models algorithm were implemented. We designed model dictionary base, model file base, and model knowledge base. Model base administration and maintenance functions were developed and implemented model file management, parameter management and knowledge management. The problems of interface between of model base and database were solved by means of model data control files. Model base ensured the availability of supporting for forest fire model suitability selection technology and forest fire model self-adapting updating technology.(3) Based on BP artificial neural network, we designed a frame construction of forest fire model selection of suitability. Forest fire model selection knowledge was produced through BP artificial neural network.

2建立了林火模型库建设的林火蔓延模型评价标准，根据模型评价标准和试验区实际情况，在42个林火蔓延模型中选择了目前最具有影响力和最具有典型代表性的Rothermel模型、王正非模型、加拿大模型和澳大利亚模型进行了解析和归一化处理；对林火模型库的建库过程和方法进行了研究，在林火模型分类基础上，采用面向对象的模型库表示方法建立了林火模型库；实现了林火蔓延模型算法，设计了模型字典库、模型文件库和模型知识库；开发了模型库管理与维护功能，实现了模型的文件管理、参数管理和知识管理；通过模型数据管理文件解决了模型库与数据库之间接口问题；实现了林火模型库对林火模型适宜性选择和林火模型自适应修正技术的有效支持。

According to the features of natural language, conduct a deep study and comparison in many fields such as the algorithm optimization, features'representation and selection, multi-class problem, parameter selection and probabilistic output of support vector machine such that the general machine learning technology can be applied into natural language processing tasks. 2. According to the feature of lexical tagging , propose a novel disambiguate algorithm that improves the performance and efficiency of this task and provides a good fundament for deeper analysis.

针对自然语言处理任务的特点，对于算法优化、特征的表示和选择、多分类问题、参数选择和支持向量机的概率输出等问题进行深入的研究和比较，使自然语言处理任务可以应用通用的高精度机器学习方法得以解决。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。