非线性函数逼近作为统计理论的一个重要分支，在模式识别中有着广泛的应用。
As one of the important branches in statistic theory, the non-linear function has a large application in model-identification.
在工程应用领域，特别是模式识别、量子物理，通信领域等众多非线性信号处理方面得到了最为广泛的应用。
In engineering application area, especially in nonlinear signal processing such as pattern recognition, quantum physics and communication it has a lot of novel applications.
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.
SVM由于其良好的泛化能力和全局最优性能，在模式识别、数据挖掘、非线性系统建模和控制等领域中展现出广泛的应用前景。
SVM has been applied to many fields such as pattern recognition, data mining, modeling and control of nonlinear system due to good generalization ability and globally optimal performance.
样条神经网络是一个三层前向神经网络，可广泛用于非线性系统的建模、控制和模式识别等领域。
B-spline neural network is a three layer feedforward neural network and can be used in modeling, control, pattern recognition for nonlinear systems and other fields.
原始的非线性维数约减算法是无监督的，不能直接用于模式识别。
The original nonlinear dimensionality reduction algorithms are non-supervised, which can't directly be applied in pattern recognition.
可以认识到，本文的研究课题——心理健康的评估问题，本质上属于模式识别或非线性分类问题。
We know that this research topic - mental health assessment is essentially a pattern recognition or non-linear classification.
支持向量机(SVM)是基于统计学习理论的一种智能学习方法，可以用来解决样本空间的高度非线性的模式识别等问题。
Support Vector Machine (SVM) is an intellectual learning method based on the statistics theory. The SVM can solve problems of complicated nonlinear pattern recognition of spatial samples.
摘要：在解决非线性、高维模式识别以及小样本等问题中，支持向量机表现出许多独有的优势。
Absrtact: SVM represented many unique advantages in many applications, such as solving the problem of nonlinear, high dimension pattern recognition and small sample problem.
支持向量机是一种基于统计理论的机器学习算法，在解决小样本、非线性及高维模式识别中有独特的优势。
Support vector machine is a kind of machine study algorithm based on statistic theory, it has special advantage in solving small sample, non-linear and high dimension mode recognition.
结果表明，以CP神经网络构筑的故障模式识别器有很强的非线性映射能力，可对机械设备故障模式进行正确分类。
The result indicates that based on CP neural network, the fault pattern recognition system has strong nonlinear mapping ability, therefore it can be used to correctly classify the mechanical faults.
BP神经网络具有很强的非线性映射和自适应学习功能，可用于模式识别和预测评估等领域。
The BP neural network has ability of nonlinear-mapping and self-accommodating. It can be used to recognize mode, forecast and so on.
混沌同步在保密通信、非线性系统性能优化、大脑行为建模以及模式识别等领域有着极为重要的应用。
Chaos synchronization has very important applications in security communication, optimization of nonlinear system performance, modeling brain activity and pattern recognition.
数学形态学是基于非线性理论的图像分析处理方法，已广泛应用于图像处理和模式识别中。
Mathematical morphology is a method of image analysis and processing based on the non-linear theory, and widely applied in image processing and pattern recognition.
而基于模糊规则的模式识别方法是一类可理解性好的非线性方法，但迄今为止还没有被应用于多分类器融合问题中。
As a nonlinear method, the fuzzy rule-based pattern recognition has good comprehensibility, but has not been applied to the multiple classifier fusion.
而基于模糊规则的模式识别方法是一类可理解性好的非线性方法，但迄今为止还没有被应用于多分类器融合问题中。
As a nonlinear method, the fuzzy rule-based pattern recognition has good comprehensibility, but has not been applied to the multiple classifier fusion.
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