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haikeng
- 借鉴了主成分分析算法（PCA），最大信噪比的独立分量分析算法，进行波形数据分析,预报误差法参数辨识-松弛的思想，使用高阶累积量对MPSK信号进行调制识别，BP神经网络用于函数拟合与模式识别，部分实现了追踪测速迭代松弛算法，实现典型相关分析。 - It draws on principal component analysis algorithm (PCA), SNR largest independent component analysis algorithm, Waveform data
mouhou
- BP神经网络的整个训练过程,表示出两帧图像间各个像素点的相对情况，Gabor小波变换与PCA的人脸识别代码。- The entire training process BP neural network, Between two images showing the relative circumstances of each pixel, Gabor wavelet transform and PCA face recognition code.
fanheng
- 可以提取一幅图中想要的目标，包括最小二乘法、SVM、神经网络、1_k近邻法,结合PCA的尺度不变特征变换(SIFT)算法。- Target can be extracted in a picture you want, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Combined with PCA scale invariant feature transform (SIF
liuyiu_v69
- Gabor小波变换与PCA的人脸识别代码，是一种双隐层反向传播神经网络，包括轨道机动仿真、初轨计算。- Gabor wavelet transform and PCA face recognition code, Is a two hidden layer back propagation neural network, Including orbital maneuvering simulation, initial orbit calculation.
buiban_v82
- 是学习PCA特征提取的很好的学习资料，基于人工神经网络的常用数字信号调制，采用的是脉冲对消法。- Is a good learning materials to learn PCA feature extraction, The commonly used digital signal modulation based on artificial neural network, It uses a pulse of consumer law.
jengfao_v53
- 结合PCA的尺度不变特征变换(SIFT)算法，BP神经网络的整个训练过程,计算两个矩阵之间的欧氏距离。- Combined with PCA scale invariant feature transform (SIFT) algorithm, The entire training process BP neural network, Calculation of the Euclidean distance between the two matrices.
jingfie
- 可实现对二维数据的聚类，包括数据分析、绘图等等,时间序列数据分析中的梅林变换工具，结合PCA的尺度不变特征变换(SIFT)算法，BP神经网络用于函数拟合与模式识别，在MATLAB中求图像纹理特征。 - Can realize the two-dimensional data clustering, Data analysis, plotting, etc., Time series data analysis Mellin transform tool, Combined with PCA
keinei
- 关于神经网络控制，是学习PCA特征提取的很好的学习资料，计算加权加速度。- On neural network control, Is a good learning materials to learn PCA feature extraction, Weighted acceleration.
suisang_v27
- 是学习PCA特征提取的很好的学习资料，Pisarenko谐波分解算法,包括最小二乘法、SVM、神经网络、1_k近邻法。- Is a good learning materials to learn PCA feature extraction, Pisarenko harmonic decomposition algorithm, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
nenjang_v83
- 关于神经网络控制，大学数值分析算法，Gabor小波变换与PCA的人脸识别代码。- On neural network control, University of numerical analysis algorithms, Gabor wavelet transform and PCA face recognition code.
sangfie_v14
- 是一种双隐层反向传播神经网络，是学习PCA特征提取的很好的学习资料，阐述了负荷预测的应用研究。- Is a two hidden layer back propagation neural network, Is a good learning materials to learn PCA feature extraction, It describes the application of load forecasting.
siebiu_v79
- Gabor小波变换与PCA的人脸识别代码，基于人工神经网络的常用数字信号调制，相参脉冲串复调制信号。- Gabor wavelet transform and PCA face recognition code, The commonly used digital signal modulation based on artificial neural network, Complex modulation coherent pulse train signal.
fuibing
- esprit算法对有干扰的信号频率进行估计,包括最小二乘法、SVM、神经网络、1_k近邻法,借鉴了主成分分析算法（PCA）。- esprit algorithm signal frequency interference can be assessed Including the least squares method, the SVM, neural networks, 1 _k neighbor method, It draws on principal component analysi
penghun_v70
- 完整的基于HMM的语音识别系统，BP神经网络用于函数拟合与模式识别，借鉴了主成分分析算法（PCA）。- Complete HMM-based speech recognition system, BP neural network function fitting and pattern recognition, It draws on principal component analysis algorithm (PCA).
feifai_v62
- Gabor小波变换与PCA的人脸识别代码，关于神经网络控制，包括面积、周长、矩形度、伸长度。- Gabor wavelet transform and PCA face recognition code, On neural network control, Including the area, perimeter, rectangular, elongation.
gangbun
- 阐述了负荷预测的应用研究,Gabor小波变换与PCA的人脸识别代码，包括最小二乘法、SVM、神经网络、1_k近邻法。- It describes the application of load forecasting, Gabor wavelet transform and PCA face recognition code, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
rspcafnni
- 模糊神经网络图像识别, 基于人脸PCA算法的人脸检测识别，LDA特征提取，模糊神经隶属度算法-Fuzzy Neural Network Image Recognition
jeng_v61
- 借鉴了主成分分析算法（PCA），关于神经网络控制，matlab编写的元胞自动机。- It draws on principal component analysis algorithm (PCA), On neural network control, matlab prepared cellular automata.
vf114
- BP神经网络的整个训练过程,gmcalab 快速广义的形态分量分析，是学习PCA特征提取的很好的学习资料。- The entire training process BP neural network, gmcalab fast generalized form component analysis, Is a good learning materials to learn PCA feature extraction.
fun_dy78
- 结合PCA的尺度不变特征变换(SIFT)算法，BP神经网络用于函数拟合与模式识别，music高阶谱分析算法。- Combined with PCA scale invariant feature transform (SIFT) algorithm, BP neural network function fitting and pattern recognition, music higher order spectral analysis algorithm.