应用二维单侧容限系数公式，提出了一种测定金属材料疲劳裂纹扩展速率的小样本方法。
A small sample method for testing fatigue crack growth rate curve of steel was presented in this paper using a formula of two-dimensional one-side tolerance factor.
在此误差曲线的基础上，以实际评价过程能够接受的置信程度为标准，确定小样本方法的评价极限，取得了很好的效果。
On the basis of the error curve, with the accepted degree of confidence as the standard, the evaluation limitation for small sampling method was...
试验结果表明该方法是有效、可行的，且在小样本情况下比BP神经网络具有更高的诊断精度。
The test shows that this method is effective and feasible, and has higher diagnosis precision than BP neural network in cases of fewer samples.
该方法为小样本、贫信息的科研项目风险的评价问题提供了可行的数学分析工具。
The method provides a tool of analysis on risk evaluation for such projects with limited number of samples and amount of information.
用模糊综合评判方法与BAYES理论相结合，给出由小样本试验数据确定岩土参数的概率分布。
By combining BAYES theory with fuzzy comprehension evaluation method, this paper suggests a new method to determine the distribution of rock parameters.
实验结果表明，该调制识别方法在小样本下具有较高的识别率，可以应用在数字信号的调制识别系统中。
The experiment results justify the high recognition rate with less samples, thus the method can be used in the digital signal modulation recognition system.
目前一些常用的故障诊断方法都是以大样本数据为基础的，但通常在实际工程中得到的故障一般都是小样本数据，使其应用受到了一定的限制。
At present some commonly used fault diagnosis methods are based on the large samples data, however we employ the small samples data in the real project, therefore its application has been limited.
支持向量机(SVM)作为一种新型的非线性建模方法，适合于处理小样本和高维数的建模问题。
Support vector machines (SVM) is a new nonlinear modeling method which is suitable for solving small samples and high dimension modeling problems.
本文提出了小样本的均匀分布参数的区间估计和假设检验方法。
This paper gives Interval Estimates and Hypothetical Test Method of Parameter on Few Sample Uniform Distribution.
支持向量机因其适用高维特征、小样本与不确定性问题的优越性，是一种极具潜力的高光谱遥感分类方法。
Support Vector Machines(SVM) is a potential hyperspectral remote sensing classification method because it is advantageous to deal with problems with high dimensions, small samples and uncertainty.
支持向量机方法能够解决小样本情况下非线性函数拟合的通用性和推广性的问题，是求复杂的非线性拟合函数的一种非常有效的技术。
The problems of universality and extensibility in nonlinear function approximation using small samples can be solved by the method, it a very efficient technique for nonlinear function approximation.
针对这一缺陷，将基于小样本理论的支持向量机学习方法应用到发动机的故障诊断中。
To solve the problem of lack of fault engine sample, support vector machines, which is a method based on small sample theory is applied.
对于这样一个高维数、非线性的小样本问题，许多传统的模式识别方法都容易出现过学习或欠学习现象。
When solving this small sample problem with high dimension and nonlinear, many traditional pattern recognition methods will tend to occur overfitting phenomenon.
讨论了一种对小样本光子图像的统计处理方法。
A statistical method has been developed to process thin samples photon image.
为了提高针对混杂小样本集的MB 1隐写算法的检测率，提出了一种泛化能力较强的MB 1隐写分析方法。
To improve the detection rate of MB1 steganography based on noisy small sample sets, a steganalysis method with high generalizability is proposed.
在人耳识别的最后部分尝试探索使用在小样本识别中具有很大优势的支持向量机方法。
On the last part of ear recognition, the author attempts to employs the method of SVM (Support Vector Machine), which has some superiority in small sample biometric recognition.
给出了小样本、离散型、多总体和统计量检验法与数值计算方法。
This paper presents the hypothetical test method of sum test statistics on many totality in discrete distribution of few samples and the arithmetical method of the test.
为了实现火工品高可靠性指标的小样本评估，研究了火工品可靠性评估小样本试验设计方案，给出了基于试验信息熵的小样本试验设计方法。
To assess the high reliability of initiating explosive device with small samples, the test design plan with small samples for initiating explosive devices was studied.
本文提出了双线性系统的一种小样本辨识方法。
In this paper, an identification method of bilinear system under small samples is proposed.
最后取一组小样本数据进行计算，实例结果表明所提出的方法合理有效。
At last an example is given to demonstrate the availability and ap-plication of the proposed method.
提出了一种在移动交通检测系统中确定路网浮动车最小样本数量的优化方法。
An optimization method for the minimum probe vehicles sample size of urban road network in mobile traffic detection system was proposed.
提出一种在小样本的情况下，基于多层贝叶斯网络的医学图像语义建模方法。
A semantic modeling approach for medical image semantic retrieval based on hierarchical Bayesian networks was proposed, in a small set of samples.
数据模拟的结果表明新的方法更加适合小样本，及存在较强连锁关系的标记位点的情况。
The data simulation results showed that the new linkage analysis method is optimal for small sample with strong linkage.
目的：探讨建立小样本情况下病例组合模型的意义与模型求解方法。
Objective: To investigate the methods of case-mix in small samples.
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。
Support vector machine (SVM) based on the structural risk minimization of statistical learning theory is a method of machine learning for small sample set.
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。
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.
并研究了正态分布的小样本容量的相容性检验问题的理论，提出了新的检验方法。
The article gives a research on the theory problem of Compatibility test on Normal Distribution with few samples. The new test method is put forward.
实践表明，这种方法具有较高精度，平均残差百分比绝对值为1.61%，适合小样本单价的建立。
The practice indicated that the method possesses higher accuracy with absolute value 1.61% of the average residual percentage. The model may be suitable for the price establishment of small samples.
马尔柯夫链适用于大样本数据序列的短期预测，而灰色系统预测方法适用于小样本数据的中期预测。
Markov Chain is suitable for short-term forecast of great capacity sample data sequence, but gray system forecast method is suitable for medium-term forecast of few capacity sample data sequence.
马尔柯夫链适用于大样本数据序列的短期预测，而灰色系统预测方法适用于小样本数据的中期预测。
Markov Chain is suitable for short-term forecast of great capacity sample data sequence, but gray system forecast method is suitable for medium-term forecast of few capacity sample data sequence.
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