本文针对支持向量机参数选取问题，研究基于支持向量机参数优化的木材干燥过程建模。
This paper researched on the modeling of wood drying process based on parameters optimization of SVM to aim at the problem of its parameters selection.
第三，针对支持向量机算法复杂度较高，难以应用于大样本分类的问题，提出了GMP-CSVC算法。
Thirdly, a GPU based massively data parallel C-SVM classification (GMP-CSVC) algorithm is presented to reduce the training time of SVM.
针对支持向量机学习是一种有导师的学习，引入了否定算法，把人脸特征否定的结果来供支持向量机学习。
Because the learning support vector machine is an instructing learning, a negative algorithm is introduced. The negative result of facial feature is provided for the support vector machine learning.
本文主要的研究工作是：针对支持向量机训练速度慢的问题，在现有支持向量机加速训练算法的基础上，寻找一种新的SVM加速训练算法。
The main target of the thesis is: for the shortcoming of the slowly training speed about SVM, we want to find a new SVM accelerated training algorithm based on the existing SVM algorithms.
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.
针对高分辨率遥感图像舰船目标识别问题，提出了一种基于支持向量机的舰船目标分类方法。
Aiming at recognizing ship target in high resolution satellite images, a classification method based on Support Vector Machine (SVM) is proposed.
针对玉米病害叶片彩色纹理图像的特点，提出一种将支持向量机和色度矩分析应用于玉米病害识别的方法。
According to the features of color texture image of maize disease, a method of recognizing disease by using support vector machine (SVM) and chromaticity moments is introduced.
针对压力传感器输出特性受温度变化和电压波动影响的问题，提出了应用支持向量机对压力传感器输出特性进行非线性补偿的校正模型。
In view of characteristics of pressure sensor affected by temperature changes and voltage fluctuation, a correction model of pressure sensor is presented based on Support Vector Machine.
针对植物病害彩色纹理图像的特点，提出将支持向量机和色度矩分析方法相结合应用于植物病害识别中。
According to the features of color texture image of plant disease, recognition of plant disease using support vector machine (SVM) and chromaticity moments was introduced.
针对目前人脸检测算法于速度和精度不能兼优的问题，提出了一种基于脸部信息及支持向量机的人脸检测方法。
An algorithm for face detection with fast speed and accurate precision was presented, which integrates facial information and support vector machine.
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.
针对葡萄病害彩色纹理图像的特点，提出一种将支持向量机和色度矩分析应用于葡萄病害识别的方法。
According to the features of color texture image of grape disease, a method of recognizing of grape dis-ease using support vector machine (SVM) and chromaticity moments is introduced.
针对非线性控制系统辨识建模较为困难的问题，利用回归型支持向量机(SVR)设计了一例控制系统的辨识建模系统。
Aiming at the problem of difficult system identification modeling for control system, an identification modeling system was designed for control system by using support vector regression (SVR).
针对电梯群控调度中的交通流模式识别问题，提出了一种基于多值分类支持向量机的电梯交通流模式识别方法。
Aiming at the pattern recognition of traffic flows in elevator group control systems, a method based on the multi-value classification SVM (Support Vector Machine) is put forward.
针对边缘匹配矢量量化图像编码方法存在的出轨现象，提出一种引入支持向量机的方法。
To tackle the derailment phenomenon consisting in side-match vector quantization image coding technology, we introduced support vector machine.
针对目前煤炭储量估计方法的局限性，提出了基于支持向量机的煤炭储量精确算法。
Aiming at the limitation of the present methods of coal reserves estimation, presented an accurate algorithm for estimation of coal reserves based on support vector machine.
针对污水处理过程运行状态监控中的正常运行状态样本数多而异常运行状态样本数少的特点，提出加权支持向量机方法。
Faced with the fact that training samples belonging to normal operation status are much more than ones belonging to abnormal operation status, the weighted support vector machine is presented.
针对电力系统静态稳定运行的特点，提出了基于支持向量机的智能化电压稳定评估模型。
For the characteristics of power system static stable, a smart voltage stability assessment and prediction model is proposed using support vector machine.
针对大规模高维气体分析样本难以计算的问题，提出一种提升的支持向量机学习方法。
An incremental training method for support vector machine is proposed to alleviate the computing burden of large-scale, high-dimension samples in multi-component gas analyzing.
针对现有车型识别存在的问题，提出利用经验模态分解和支持向量机的车型声频识别方法。
For the problem of automatic vehicle recognition, a recognition method is proposed based on EMD and support vector machine.
针对土石坝渗透参数和测压管水位间复杂的非线性关系，应用最小二乘支持向量机于土石坝渗透系数的反演。
In view of complex nonlinear relationship between dam seepage parameters and piezometric tube level, the least squares support vector machine is applied to the back analysis of seepage parameters.
支持向量机是数据挖掘的一项新技术，被认为是目前针对小样本的分类、回归等问题的最佳理论。
Support vector machine is a new technique of data mining, which is regarded as the best theory aimed at solving the problem of classification and regression of small sample pool at present.
针对结构隐式极限状态函数的可靠性分析，提出了一种支持向量机分类迭代算法。
For reliability analysis of structure with implicit limit state function, an iterative algorithm was presented on the basis of support vector classification machine.
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.
针对组合核支持向量机建模中存在的耗时和性能的矛盾问题，提出新的方案，用于在时间和性能上寻找理想折衷。
For the contradiction between time and performance in the modeling of combined-kernel support vector machines, it proposes a new scheme in finding the ideal compromise of performance and time.
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.
针对基于经验风险最小化原则的传统学习方法的不足，提出了一种基于支持向量机的油气管道安全识别方法。
An SVM-based recognition method for the safety of oil and gas pipeline was proposed due to limitation of the traditional learning methods based on empirical risk minimization.
本文主要针对基于最小二乘支持向量机的自适应逆控制方法进行了研究。
An adaptive inverse control method based on Least Squares support vector machine is studied in this paper.
针对飞行动作识别提出解决这一现象的模糊支持向量机。
Flight action recognition is proposed in this paper based on the fuzzy support vector Machines (FSVMs).
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.
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