对于指标的无量纲化处理，本文主张采用极值化方法。
The paper advocates using extreme method for non-dimension of indicators.
讨论了完全信息情况下的并发性诊断问题的求解方法-通路极值化方法。
In the single fault situation a method named the path information extremum diagnosis method is proposed.
专项训练方法能否适应竞技极值化对运动员专项能力提升的要求，是一个令人值得关注的问题。
Whether the special training methods can meet the needs of athletics extremum calling for the athlete special ability promotion, is a noticeable question.
针对无人机近距离编队飞行问题，采用极值搜索算法，解决其中僚机所需动力最小化的控制问题。
An approach based on extremum seeking algorithms for the minimum power demand of the wingman in formation flight of an UAV is presented.
目前对传热效果的评价存在熵产最小化和势容耗散取得极值两种不同的准测。
At present, entropy generation minimization and potential capacity dissipation extremum are the two principles to value heat transfer performance.
采用极值搜索方法，解决无人机紧密编队飞行中僚机所需动力最小化的问题。
The paper presents a design approach based on extremum seeking for minimum power demand of formation flight of Unmanned Aerial Vehicle.
因此，在所有可能的计算和学习的空间中，自然选择占居了一个特殊的位置，它占领了信息传递最小化的极值点，形成了学习和敏捷的最低界线。
In the space of all possible computation and learning, then, natural selection holds a special position. It occupies the extreme point where information transfer is minimized.
该算法的思想是采用混沌初始化进行改善个体质量和利用混沌扰动避免搜索过程陷入局部极值。
The basic principle of CPSO algorithm is that chaos initialization is adopted to improve individual quality and chaos perturbation is utilized to avoid the search being trapped in local optimum.
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 properties of this filled function and a global minimization method based on the filled function are analyzed.
同时针对神经网络易于陷入局部极值、结构难以确定和泛化能力较差的缺点，引入了能很好解决小样本、非线性和高维数问题的支持向量回归机来进行油气田开发指标的预测；
The method of support vector regression which can well resolve the problem with the insufficient swatch, nonlinear and high dimension is introduction to predict the development index of gas-field.
在聚类分析中，模糊k均值算法是目前应用最为广泛的方法之一，然而该算法对初始化敏感，容易陷入局部极值点。
In cluster analysis, Fuzzy K-Means (FKM) algorithm is one of the most widely used methods. However, FKM algorithm is much more sensitive to the initialization, and easy to fall into local optimum.
针对无人机近距离编队飞行问题，采用极值搜索算法，解决其中僚机所需动力最小化的控制问题。
To solve the problem of unmanned aerial vehicle (UAV) formation flight, an approach of modeling close formation flight of UAV is presented.
最后通过检测多尺度规范化Laplacian滤波的极值，实现目标的定位和尺寸描述。
Through searching the local maxima of multi-scale normalized Laplacian filters of the probability distribution image the target is located and its size is determined.
最后通过检测多尺度规范化Laplacian滤波的极值，实现目标的定位和尺寸描述。
Through searching the local maxima of multi-scale normalized Laplacian filters of the probability distribution image the target is located and its size is determined.
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