The properties of this filled function and a global minimization method based on the filled function are analyzed.
给出一类求解总体极值问题的填充函数，分析了该填充函数的特性与基于填充函数的总体极小化方法。
The minimization method is a dynamic randomized algorithm, and applied to make random case distribution in clinical research.
最小化法是一种动态随机算法，用于在临床研究中进行病例随机分配。
The reliability estimation of steel columns axially loaded compression members) and bended members are discussed by minimization method.
给出了轴心受压钢构件和受压钢件和受弯钢构件可靠性评估的公式和图表。
With the help of an unconstrained minimization method solved is the axle center actual location of the rotor within its working speed range.
用无约束极小化方法求解了转子在工作转速范围内轴心实际位置。
Compared with the existing minimization methods, SWT is the simplest, optimal method and applicable to complicated problems with more than 15 input variables.
同现存的极小化方法相比，SWT算法简单，极小化程度高，并可适用于十五个以上输入变元的较复杂问题。
Based on this analysis, the author has got an effective minimization method for constructing the minimal closure of the closed class of implicative compatible pairs without redundant elements.
在此基础上，提出了一个有效的极小化方法——建立无多余元素的蕴涵相容对封闭类的极小闭包的方法。
Parameter estimation as minimization - intro to method of least squares, introduction to probability theory, conditional and joint probabilities, statistical independence.
以最小化问题估算参数-最小平方法介绍，机率论介绍，条件机率及联合机率，统计无关。
New optimization method solving minimization of maximum value problems is proposed.
提出了解决最大值的最小化问题有效的优化程序算法。
Sequential Unconstrained Minimization Techniques (SUMT) are most common and comparatively successful method in constrained optimization.
罚函数法(SUMT)是处理约束优化问题时最常用、也是较为成功的一种方法。
Support vector machine is a learning technique based on the structural risk minimization principle as well as a new regression method with good generalization ability.
支持向量机是一种基于结构风险最小化原理的学习技术，也是一种新的具有很好泛化性能的回归方法。
In this paper, an algorithm of multiplier method for the constrained minimization problems is introduced.
本文简略介绍了使用乘子法解有约束极小问题的一个算法。
The SVM method is based on seeking on the Structural Risk Minimization by few learning samples supporting, and it has important feature such as good generalization and classification performance, etc.
支持向量机方法基于小学习样本条件下，通过寻求结构风险最小，以期获得良好的分类效果和泛化能力。
Support vector machine (SVM) based on the structural risk minimization of statistical learning theory is a method of machine learning for small sample set.
基于统计学习理论中结构风险最小化原则的支持向量机是易于小样本的机器学习方法。
This algorithm changes the form of nonlinear filter, and denoises the image by combining with the method of total variation minimization.
该算法改变了原算法中非线性滤波的方式，并结合总变分最小化方法对图像进行降噪处理。
The filled function method is an approach for solving unconstrained global minimization problem.
填充函数法是一种解无约束全局极小化问题的方法。
An SVM-based recognition method for the safety of oil and gas pipeline was proposed due to limitation of the traditional learning methods based on empirical risk minimization.
针对基于经验风险最小化原则的传统学习方法的不足，提出了一种基于支持向量机的油气管道安全识别方法。
This method, based on combinational logic minimization, proposes a new idea to proceed state assignment according to constrained. relation of compressed state table.
由于该时序逻辑综合新方法在处理过程中要涉及解大型覆盖表的问题，为此提出满足压缩状态表约束关系的状态分配的简化算法。
The energy equation is solved by the zonal method, and the inverse radiation problem is solved through the minimization of performance function with the conjugated gradient method.
采用段法(区域法)求解正问题，反演中采用求目标函数极小值的共轭梯度法。
In this paper, a bundle method for the minimization of the convex nonsmooth function in point by point maximum is suggested.
研究了用束方法求解非光滑逐点最大凸函数的极小化问题。
It is a new statistical study method in which the traditional empirical risk minimization principle is replaced by structural risk minimization principle.
支持向量机是以统计学习理论为基础的，采用结构风险最小化原则代替传统经验风险最小化原则的新型统计学习方法。
The inverse problem is solved using conjugate gradient method of minimization based on discrete ordinates method of radiative transfer equation.
该方法是在辐射传递方程离散坐标近似的基础上，用求目标函数极小值的共轭梯度法进行反演计算。
In this paper, we research region automata, zone automata and the method of state space minimization based on history equivalence and bisimulation transition.
本文主要研究了域自动机方法、带自动机方法以及基于历史等价和转换互模拟的最小化方法。
Support vector machines is a new statistical learning method based on structural risk minimization principle, and it has integrated theory and valid learning generalization ability.
支持向量机是一种基于结构风险最小原则的新型机器学习方法，具有完备的理论依据和良好的学习泛化能力。
Support vector machine (SVM) is a novel and powerful learning method which is derived based on statistical learning theory (SLT) and the structural risk minimization principle.
建立在统计学习理论基础之上的支持向量机(SVM)，是一种基于结构风险最小的小样本机器学习方法。
A method of knowledge expression on based rough set theory for logic function is proposed. A minimization algorithm of simplifying logic function by using rough set is given.
提出了基于粗糙集理论对逻辑函数进行知识表达的方法，给出了运用粗糙集进行组合逻辑化简的优化算法。
Based on the structural risk minimization principle, the latest data mining method, support vector machine (SVM) algorithm, in artificial intelligence field was introduced in this paper.
介绍了人工智能领域最新的基于结构风险最小化原理的数据挖掘算法——支持向量机算法。
The equilibrium compositions of Baiyin bath smelting process are calculated by the method of Gibbs energy minimization, and modified by physical suspension estimating equations.
用自由焓最小法计算了白银熔池熔炼反应平衡时各相的组成，引入物理悬浮修正公式。
Moreover, this method also possesses an automatically restarting function, which makes it particularly effective for the minimization of a non-quadratic function.
尤其重要的是：本算法具有自动进行再启动的功能，使得这个算法对于非二次函数的最小值问题特别有效。
Moreover, this method also possesses an automatically restarting function, which makes it particularly effective for the minimization of a non-quadratic function.
尤其重要的是：本算法具有自动进行再启动的功能，使得这个算法对于非二次函数的最小值问题特别有效。
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