资源列表
MACHINE LEARNING FROM MATHWORK HANDBOOK 2
- Handbook for Machine Learning 2
MACHINE LEARNING FROM MATHWORK HANDBOOK 3
- Handbook for Machine Learning 3
MACHINE LEARNING FROM MATHWORK HANDBOOK 4
- Handbook for Machine Learning 4
SIMULINK SOURCE RECTIFIER
- Source Simulink block
wine_SVM
- 支持向量机是一种继神经网络之后又一优化的算法推动了机器学习的理论发展。(Support vector machines (SVM) is a kind of optimization algorithm after neural network, which promotes the development of machine learning theory)
EEMD
- eemd分解的matlab程序，可加入函数库使用(EEMD decomposition of the matlab program, can be added to the use of Libraries)
svm
- matlab实现的支持向量机，简易的实现代码学习分享(Matlab support vector machines, simple to achieve code learning to share)
Desktop
- 用遗传算法优化BP神经网络的权值。提高BP网络的输出精度.(Optimization of weights of BP neural network by genetic algorithm. Improve the output accuracy of BP networks)
programs
- signal processing matlab program
anritsutraceview
- 基于MATLAB程序对多变量进行多元统计分析中的主成分分析指令(Principal component analysis instruction of multivariate statistical analysis based on MATLAB program)
beamforming
- 波束形成，常规线阵指向0度，假设线阵数量为10(Beam forming, the conventional linear array points to 0 degrees, assuming the number of linear array is 10)
libsvm_library
- 支持向量机是继神经网络之后又一研究深度学习的新方向，它的泛化能力比神经网络强很多(Support vector machine (SVM) is a new direction of deep learning after neural network. Its generalization ability is much better than that of neural network)