资源列表
main
- 应用BP神经网络逼近非线性函数,非线性函数为多输入单输出,逼近误差<5 ,采用经典的BP算法。-Application of BP neural network to approximate nonlinear function, nonlinear function for multiple input and single output, the approximation error < 5 , using the classic BP algorithm.
ex4Data
- 机器学习课程练习,实现结果较为理想,很实用的- U673A u5668 u5B09 u5B09 u5B03 u7B0
EnergyEntropy
- 能量熵的源程序,用于提取故障信号特征,研究故障诊断的可以看下。-Energy entropy of the source program, used to extract the fault signal characteristic, the research of fault diagnosis may have a look.
Prj1
- 实现静态阴影的检测 开发环境为MATLAB,-Shadow Detection By Matlab
SDEGM
- 改进的差分进化算法优化的灰色模型,灰色模型采用的GM(1,1)。-The improved differential evolution algorithm is optimized for the gray model, and the gray model uses GM (1,1).
kNN
- knn算法。成名的k紧邻算法,聚类算法,可以用作分类。希望帮到大家。-knn algorithm. K close to the famous algorithm, clustering algorithm, it can be used as a classification. We hope to help everyone.
NN_tutorial
- 人工神经网络是深度学习的基础,并在图像识别上应用非常多。本代码内容是一个经典的BP网络,S1和S2分别表示中间层和输出层的神经元个数,学习3幅不同类型的图像并输出。-Artificial neural networks are the basis of deep learning and are used in image recognition. The contents of this code is a classic BP network, S1 and S2, respectively
GA_demo-func
- 遗传工具箱的使用详解。 这里将使用GADST求解一个非线性方程组。-The use of genetic toolbox is detailed. Here we will use GADST to solve a nonlinear system of equations.
IUQCWY
- 小波变换在语音和生物医学信号处理中的应用 小波变,-Wavelet transform in speech and biomedical signal processing, the application of wavelet change,
Classification_LS_SVMlab
- LS_SVMlab Classification_LS_SVMlab.m Regression_LS_SVMlab.m -LS_SVMlab Classification_LS_SVMlab.m Regression_LS_SVMlab.m
Classification_OSU_SVM
- OSU_SVM3.00 Classification_OSU_SVM.m - 多类分类-OSU_SVM3.00 Classification_OSU_SVM.m