本文首先研究了样本集大小对线性识别方法和非线性识别方法的影响问题。
Effect of the dataset size on linear and nonlinear methods is firstly discussed.
对基于静力位移结构识别问题的参数分组及可辨识性标准进行了讨论，建立了基于模拟退火-单纯形的完全非线性识别算法。
Then the parameter group and identifmbility criterions were discussed . the identification algorithm based on the simulated annealing - simplex shape algorithm was proposed.
人类的眼睛是一个高度非线性运作的设备，网页用户能够直觉地识别边界、模式和运动。
The human eye is a highly non-linear device, and web-users can instantly recognize edges, patterns and motions .
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.
研究了非线性参数系统模型的识别问题，通过引入求解线性方程组的松驰法思想，构造了一类新的迭代识别算法。
A nonlinear system parameters identification problem is investigated in this paper by introducing a relaxation method used for solving the linear equations of the system.
非线性结构的参数估计和系统识别是取得和验证非线性结构数学模型的一门学科。
The parameter estimation and system identification of nonlinear structures is a subject which serves to obtain and verify mathematical model of nonlinear structures.
利用听觉频率非线性特性的美尔倒谱作为语音识别的特征参数，来辨识说话人提供的输入口令。
Also, since MFCC represent hearing frequency nonlinear characteristic, we utilize MFCC to be another speak recognition characteristic parameter to distinguish the input passwords.
识别混沌是对非线性时间序列进行分析、预测、控制的基础。
How to identify chaos is the foundation of analysis, prediction and control of nonlinear time series.
传统的BP算法可以实现非线性函数的映射，经过有监督式的学习规则可以达到比较好的识别效果。
The nonlinear function map can be realized with the classic BP arithmetic and the identifying result will be relatively good under the study rule of supervising type.
传统的BP算法可以实现非线性函数的映射，经过有监督式的学习规则可以达到比较好的识别效果。
The nonlinear function map can be realized with the classical BP arithmetic and the identifying result will be relatively good under the study rule of supervising type.
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.
通过对松驰方法的分析与改进，提出了一种基于非线性概率松驰过程的汉字识别后处理方法。
Through analysis and improvement of relaxation, a method was put forward for Chinese characters identification and post processing based on relaxation procedure of nonlinear probability.
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.
数值算例证实了此方法的正确性，计算表明非线性系数的识别精度与非线性程度和初始振幅大小有关。
It is also shown that the identification accuracy for the nonlinear parameter depends on the degree of nonlinearity and the initial amplitude.
对基于时-频相结合的非线性振动系统的参数识别问题进行了研究。
The question about parametric identification of nonlinear vibration system based on time-frequency analysis was studied.
本文在直接解析法的基础上，进一步提出结构损伤识别的非线性解析法。
Based on the directly analytical method for structural damage identification, the nonlinear analytical method was presented.
在线识别算法可以实时地识别出结构非线性回复力和结构参数的变化。
The on-line identification algorithm can identify the nonlinear restoring force and the changes in structural parameters in real time.
基于核主成分分析（KPCA）的人脸识别算法能够提取非线性图像特征，在小样本训练条件下有较好性能。
The algorithm of face recognition based on kernel principal component analysis(KPCA)can abstract nonlinear features of image and can get better performance under less sample training conditions.
提出将支持向量机网络应用于含不同浓度杂质气体的非线性荧光光谱的识别。
That the support vector machine network is applied to recognize the nonlinear fluorescence spectrum of impurities of different concentrations in air is proposed.
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.
本文探讨了只用单个隐含层的前向神经网络对未知非线性动态系统的识别。
This paper investigates the identification of unknown nonlinear dynamical system using multilayered feedforward neural network with a single hidden layer.
而人工神经网络以其自适应、并行性、非线性、鲁棒性和学习特性被广泛应用于语音识别领域。
ANN is widely used in speech recognition field due to its self adapting, parallelism, non-linearity, robustness and learning ability.
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.
本文述及一种识别非线性动力学系统的改进算法。
The paper presents an improved approach for identifying non-linear dynamic systems.
研究了非线性迟滞系统的参数识别问题。
The parameter identification of nonlinear hysteretic systems is dealt with in the paper.
运用神经网络处理非线性问题的优势，将其应用于带钢表面缺陷的识别与分类研究。
Taking the advantage of neural network in dealing with non-linear problem, neural network is applied to study the discernment and classification of the strip surface defects.
选用美尔倒谱系数及其差分作为语音识别的特征参数，来描述人耳的听觉频率非线性特性。
Selected for use MFCC and the difference and divided the characteristic parameter as phonetic recognition, to describe the non-linear characteristic of frequency of sense of hearing of ears of people.
提出了一种基于相重构和主流形识别的非线性时间序列降噪方法。
A noise reduction method in nonlinear time series based on phase reconstruction and manifold learning was proposed.
本文提出链状非线性振动系统非参数识别的新算法。
This paper presents a new approach of nonparametric identification for nonlinear dynamic systems.
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