资源列表
pouyie_v14
- 实现了图像的灰度化并进一步用于视频监视控,BP神经网络用于函数拟合与模式识别,用于建立主成分分析模型。- Achieve a grayscale image and further control for video surveillance, BP neural network function fitting and pattern recognition, Principal component analysis model for establishing.
bsvm-2.08
- BSVM解决了支持向量机(SVM),用于解决大型分类和回归问题。 它包括以下方法 一个对一个使用约束约束公式的多类分类 通过解决单一优化问题(再次,有界公式)进行多类分类。 参见我们比较文件的第3节。 使用Crammer和Singer的配方进行多级分类。 参见我们的比较文章第4节。 使用约束约束公式的回归-BSVM solves support vector machines (SVM) for the solution of large classification and r
caffe-note-1
- caffe笔记1 自建数据集并训练, 可用于任何系统-Caffe u7B14 u8BB01 u81EA u5EFA u657 u636E u96C6 u5E76 u8BAD u7EC3
vivac
- 采用波束成形技术的BER计算,sar图像去噪的几种新的方法,cordic算法的matlab仿真。- By applying the beam forming technology of BER Several new methods sar image denoising, cordic matlab simulation algorithm.
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射精确度的指导,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.