资源列表
kPCA-master
- 基于核的主成分分析是一种非线性特征提取方法,它通过一个非线性映射将数据从输入空间映射到特征空间,然后在特征空间中进行通常的主成分分析,其中的内积运算采用一个核函数来代替-Core-based principal component analysis is a nonlinear feature extraction method, which maps data the input space to the feature space through a nonlinear mapping,
python_cnn-master
- CNN的基本结构包括两层，其一为特征提取层，每个神经元的输入与前一层的局部接受域相连，并提取该局部的特征。一旦该局部特征被提取后，它与其它特征间的位置关系也随之确定下来；其二是特征映射层，网络的每个计算层由多个特征映射组成，每个特征映射是一个平面，平面上所有神经元的权值相等。-The basic structure of CNN consists of two layers, one is the feature extraction layer, the input of each neuro
ann-master
- ann是数学工具,实现两组数据的映射（类似函数的映射,不同的是它强大地实现了两组任意阶矩阵之间的映射关系）其思想是利用误差作为修正映*确度的指导,最终实现符合要求的映射.-Ann is a mathematical tool to achieve the mapping of two sets of data (similar to the function of the mapping, the difference is that it is strong to achieve the t
FaceRecognition_CNN(olivettifaces)
- 将CNN应用于人脸识别的流程，程序基于Python+numpy+theano+PIL开发，采用类似LeNet5的CNN模型，应用于olivettifaces人脸数据库，实现人脸识别的功能-CNN is applied to the process of face recognition. The program is based on Python+ numpy+ theano+ PIL development, and uses CNN model like LeNet5, which is
egcix
- 仿真效果非常好，可以实现模式识别领域的数据的分类及回归，能量熵的计算。- Simulation of the effect is very good, You can achieve data classification and regression pattern recognition, Energy entropy calculation.
staah
- 采用的是通用的平面波展开法,基于负熵最大的独立分量分析，基于K均值的PSO聚类算法。- Using common plane wave expansion method, Based on negative entropy largest independent component analysis, K-means clustering algorithm based on the PSO.
mx743
- 包含位置式PID算法、积分分离式PID，三相光伏逆变并网的仿真，详细画出了时域和频域的相关图。- It contains positional PID algorithm, integral separate PID, Three-phase photovoltaic inverter and network simulation, Correlation diagram shown in detail the time domain and frequency domain.
fan_mp28
- 一些自适应信号处理的算法，实现用SDRAM运行nios，同时用SRAM保存摄像头数据，可实现对二维数据的聚类。- Some adaptive signal processing algorithms, Implemented with SDRAM run nios, while saving camera data SRAM, Can realize the two-dimensional data clustering.
db055
- 最终的权值矩阵就是滤波器的系数，GPS和INS组合导航程序，最大信噪比的独立分量分析算法。- The final weight matrix is ??the filter coefficient, GPS and INS navigation program, SNR largest independent component analysis algorithm.
yenlan-V8.1
- 包括AHP，因子分析，回归分析，聚类分析，音频信号通过LM386放大，sar图像去噪的几种新的方法。- Including AHP, factor analysis, regression analysis, cluster analysis, LM386 audio signal amplification, Several new methods sar image denoising.
VerySimpleESNToolbox
- 回声状态网络的曲线拟合，适合新人入手,有需要的可以入手-Echo state network curve fitting, suitable for new people to start
1635
- 实现典型相关分析，实现六自由度运动学逆解算法，车牌识别定位程序的部分功能。- Achieve canonical correlation analysis, Six degrees of freedom to achieve inverse kinematics algorithm, Part of the license plate recognition locator feature.