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Inertiadevicefaultpredictionbasedonwavelet
- ：为了提高最小二乘支持向量回归机的性能，将Morlet小波核函数引入其中，形成了最小二乘小波支 持向量回归机模型。利用待优化的参数重构模型的目标函数和约束条件，并在此基础上通过遗传算法进行参数 选择，从而提高了该模型的泛化能力。将最小二乘小波支持向量回归机应用于导弹陀螺仪的漂移趋势预测，仿真 实验结果表明了该方法的有效性和可行性，因此可以为陀螺仪的故障预报、可靠性辅助决策提供依据。-To improve the ability of least square support vect
score
- 对获得的512维小波特征进行了PCA降维处理，将特征空间降至100维，并采用前面得出的最佳系数针对多项式核函数和高斯径向基核函数-On access to the 512-dimensional wavelet features to reduce the dimension of the PCA, will feature space to 100 dimensions, and using the best coefficients obtained for the previous pol
Morlet-Wavelet-Kernel-by-Marcelo-Cicconet
- The Morlet wavelet (or Gabor wavelet) is a wavelet composed of a complex exponential (carrier) multiplied by a Gaussian window (envelope). This wavelet is closely related to human perception, both hearing and vision.
wkl
- 小波核方法工具箱，来自法国University de Rouen的Alain Rakotomamonjy 教授，有对应论文Wavelet Kernel Learning。-This package is a set of Matlab scr ipts that implements the algorithms described in the submitted paper: "Wavelet Kernel Learning".
image-Reconstruction
- Wavelet based Image Reconstruction Gradient Data Fast morphological reconstruction of large logical masks. Kernel PCA and Pre-Image Reconstruction Reconstruction of image projections by Algebraic Reconstruction Technique Image Reconstruction
waveletkernelmultires
- 小波核函数源代码，在基于matlab的SVM计算当中可起到重要作用-Wavelet kernel source code, which may play an important role in SVM-based culculation among matlab
waveletkernel
- 这是一个小波核函数工具包，可根据需要的核函数公式构建自己所需的核，可用于核学习方法。-The wavelet kernel function is a toolkit, can according to need to build your kernel function formula for nuclear, and can be used to study method.
wind power forecasting based on EWT-KELM
- 针对短期风电功率预测，提出一种基于经验小波变换预处理的核极限学习机组合预测方法。首先采用 EWT 对风电场实测风速数据进行自适应分解并提取具有傅立叶紧支撑的模态信号分量，针对每个分量分别构建 KELM 预测模型，最后对各个预测模型的输出进行叠加得到风速预测值并根据风电场风功特性曲线可得对应风电功率预测值。(Aiming at short-term wind power prediction, a kernel-based learning machine combination predicti