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- The comparison of different kernel functions for SVM shows that RBF kernel function is most suitable for recognition of maize disease. 不同分类核函数的相互比较分析表明，径向基核函数最适合于玉米病害的分类识别。
- This paper proposes support vectors including redundant information after analyzing geometrical structure of RBF kernel function and data dependent way for improved Support Vector Machine(SVM). 在研究RBF核函数的几何特性和分析SVM数据依赖性改进方法的基础上,提出了支持向量携带数据冗余信息的论点。
- RBF kernel function 径向基核函数
- In this paper, different kernel functions are also compared to each other.Experiments show that Gaussian Raial Basis Function (RBF) kernel overtakes the others in our application. 还对比了两种常见的核函数，实验结果表明高斯径向基函数能够取得比较好的分类效果。
- Theoretically how to choose Kernel function remains unsolved. 在理论上，怎样选择核函数，还是一个未解决的问题。
- According to the train data, linear and nonlinear systems' black-box identification is performed by using SVM with quadric polynomial and Gaussian RBF kernel respectively. 分别采用二次核函数以及高斯RBF核函数，利用训练数据对线性和非线性系统进行黑箱辨识。
- Super advertising shield and attached a crucial handoff IE kernel function. 附带超强的广告屏蔽和IE内核一键切换功能。
- Kernel function is applied in PCA and DDA, so the linear discriminance method is dislinearized. 在主分量分析方法以及线性判别式方法中,引入核函数,使得原来的线性判别方法非线性化。
- For this reason, several important properties of kernel function are discussed on the basis of support vector machine. 为此，在研究支持向量机的基础上，给出了核函数的若干重要性质。
- The kernel function is modified by means of a conformal mapping, which makes the kernel function data-dependent. 利用与数据有关的保角映射，使核函数具有数据依赖性。
- When the Gaussian kernel function width is 2.0, RVM method possesses more perfect prediction performance. 当高斯核函数的宽度值取为2.;0时，相关向量机方法具有较为理想的预测效果。
- The kernel function can be unit hydrograph of deterministic system or time series model of stochastic system. 通常核心函数可为定率系统之单位历线或序率系统之时间序列模式。
- Geological information at different depth was described by introducing a mixed window kernel function to SVM. 通过引入窗口核函数，准确地反映了不同深度的地质信息。
- The algorithm solves nonlinear regression problems mainly through inductive-insensitive loss function and kernel function. 这里提出了核学习技术在储集层非均质特性描述中渗透率参数预测的新用途。
- As for the undivided linear sample space, the kernel function is needed to map onto another high dimension linear space. 对于线性不可分的样本空间，需要寻找核函数，将线性不可分的样本集映射到另一个高维线性空间。
- This paper proposes an improvement of LBF model，which utilizes a new kernel function instead of Gaussian kernel function. 提出了一个改进的LBF模型，它使用一个新的核函数代替高斯核函数。
- multi-kernel-parameter support vector machine with RBF kernel 多核参数径向基支持向量机
- Kernel function is the key technology of SVM,the choice of kernel will affect the learning ability and generalization ability of SVM. 核函数是SVM的关键技术,核函数的选择将影响着支持向量机的学习能力和泛化能力。
- A signal and noise separator based on SVM whose kernel function is Gauss function was used to distinguish the target signals from noises, and enhance the SNR by removing noises. 采用以高斯函数为核函数的SVM所构成的信噪分离器，对信号和噪声进行识别和分离，从而消除噪声，得到高信噪比的超声回波信号。
- The experiment results show that,when employing the same kernel function,the self-adaptability and forecasting accuracy of FFLSSVM is superior to SVM and LSSVM. 实验结果表明:FFLSSVM比由相应核函数构成的SVM、LSSVM自适应性强、预测精度高;
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- 深远海浮式风电平台 - deep-sea floating wind power platform
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- 京雄高速公路 - Beijing-Xiongan expressway
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- 农业及相关产业增加值 - the added value of agriculture and related industries
