提出了基于支持向量机的飞行安全隐患危险性评价方法，建立了支持向量机模型。
A method for fatalness assessment of flight safety hidden danger, based on support vector machine (SVM), was proposed.
核函数参数和误差惩罚因子的选择对支持向量机模型（SVM）的精度有较大影响。
The selection of the kernel function parameter and error penalty factor affected the precision of the support vector machine (SVM) significantly.
本文建立了微分进化算法的支持向量机模型，有效地解决了产业结构趋势预测问题。
Support vector machine based on differential evolution algorithm is introduced to resolve this problem in this paper.
基于小波分解提取人脸特征技术和多分类支持向量机模型，提出了一种新的准正面人脸识别算法。
This paper presents a novel algorithm for quasi-frontal face recognition based on the wavelet decomposition technique and a multi-class Support Vector Machine (SVM) model.
对结果均方差的分析显示，加权支持向量机的预测精度优于人工神经网络和标准支持向量机模型。
The analysis to the mean square deviation showed us the conclusion, that the prediction accuracy of WSVM was better than the ANN and traditional SVM models.
本文提出了基于支持向量机模型预测钢淬透性的方法，并分析了核函数的选择对支持向量机建模的影响。
In this paper, an SVM-based approach applied to predict steel quenching degree is presented, and the effects of selecting kernel function on SVM modeling are also analyzed.
利用基于支持向量机模型的31P磁共振波谱数据对肝脏进行分类，区别肝细胞癌，肝硬化和正常的肝组织。
We use SVM model based on 31p MRS to distinguish three diagnostic types of hepatocellular carcinoma, hepatic cirrhosis and normal hepatic tissue.
分别对自回归模型、神经网络模型、支持向量机模型进行研究，以我国人口增长率为例，对人口增长率进行预测。
The result shows that the model has higher prediction accuracy. (2)The autoregressive model, BP neural network model and support vector machine model are studied in the paper, respectively.
提出了一个新的支持向量机模型——基于边界调节的支持向量机，并利用拉格朗日定理得到了这种支持向量机的对偶目标函数。
In order for an SVM to be more robust to noise, a new SVM model i. e., the support vector machine based on adjustive boundary SVMAB is proposed.
在实际工业数据上进行的实验结果表明，支持向量机模型对丙酮纯度具有良好的预测效果，性能优于反向传播神经网络和径向基网络模型。
The experimental results on the real industrial data demonstrate that the model based on SVM achieves good performance and has less prediction errors than those of BPNN and RBFNN models.
支持向量机用作说话人确认模型来训练目标说话人和背景说话人的语音数据。
The support vector machine based speaker verification models are trained on the enrolled speaker and the background model.
提出了一种最小二乘支持向量机的电池剩余电量预测新模型。
A novel prediction model for remaining capacity of batteries based on least square support vector machine (LS-SVM) was proposed.
模型选择是支持向量机一个重要的研究方向。
仿真研究表明，SVM具有优良的逆模型辨识能力，基于模糊控制补偿的支持向量机逆控制系统的动态性能好、跟踪精度高、鲁棒稳定性强。
Simulations demonstrate that SVM has good nonlinear approximation capability for inverse model, and the proposed control system has good dynamic and static performances as well as good robustness.
支持向量机的模型选择研究。
该文介绍了一种文本过滤算法，该算法把基于空间向量模型的主题分类算法与基于支持向量机文本态度分类结合起来。
This paper introduces a text filtering system merging topic classification based on vector space model and sentiment classification based on support vector machine.
为了提高文本分类的准确性，研究并设计了一个基于潜在语义分析和支持向量机的多类文本分类模型。
A multiclass text categorization model based on latent semantic analysis and support vector machine is researched and designed to enhance the accuracy of categorization.
针对钻具失效影响因素比较复杂的问题，建立了基于支持向量机和聚类分析理论的钻具失效原因分析模型。
Considering the complex influence factors for the failure of drill stem, an analytic model for failure of drill stem based on support vector machine and cluster analysis theory was established.
为了提高性别检测的精度，提出了一种支持向量机(SVM)与主动外观模型(aam)相结合的迭代学习算法。
In order to increase accuracy in gender classification, an iterative learning approach combining support vector machine (SVM) and active appearance model (AAM) was proposed.
考虑到大气时空变化的复杂性，针对各个季节分别设计了基于支持向量机的预报技巧的预报模型。
Considering the complexity of the atmosphere's space-time change, we design models based on Support Vector Machine for different seasons, respectively.
利用隐马尔克夫模型与支持向量机相结合，对站立和行走过程中的下肢表面肌电信号进行分类，用来控制多功能假肢。
Classifying myoelectric signals using hidden Markov model and support vector machine to process myoelectric signals, with the task of discrimination five classes of multifunction prosthesis movement.
提出了基于AR模型和支持向量机的转子系统故障诊断方法。
A fault diagnosis approach for rotor systems based on AR model and support vector machine is proposed.
提出了一种利用隐马尔可夫模型(HMM)和支持向量机(SVM)的两级指纹分类新方法。
A new two-stage method of fingerprint classification is proposed that is based on hidden Markov model (HMM) and support vector machine (SVM).
实现该信号通信量的高精度预测是提高信息传输速度和提高网络带宽资源利用效率的重要手段，本文提出采用支持向量机网络模型对VBR视频通信量进行预测。
It is the important method to realize the higher precision prediction and improve the utilizing rate. A support vector machine model is proposed to predict the VBR video traffic.
针对非线性时变的发酵过程，建立了用于产物浓度预估的支持向量机(SVM)模型。
In accordance with the features of non-linear and time varying for ferment process, a support vector machines (SVM) model is established for estimating the concentration of product.
现有最小二乘支持向量机回归的训练和模型输出的计算需要较长的时间，不适合在线实时训练。
Least square support vector machines regression without sparsity needs longer training time currently, and is not adapted to online real-time training.
根据影响边坡稳定性的主要因素，建立了边坡稳定性的支持向量机预测模型。
Based on the main factors with important influence on slope stability, the support vector machine (SVM) model of slope evaluation is established.
根据影响边坡稳定性的主要因素，建立了边坡稳定性的支持向量机预测模型。
Based on the main factors with important influence on slope stability, the support vector machine (SVM) model of slope evaluation is established.
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