资源列表
mlLinearR
- MATLAB 平台上实现线性回归，简单的线性回归，易于理解、入门的那种-machine learning linear regression
SAA-for-0-1-problem
- 使用模拟退火算法智能求解0-1路径优化问题！-Simulated annealing algorithm for solving 0-1 selectivity problem!
mixing-penalty-function-method
- 罚函数求解优化问题，最直接有效物理意义清楚的方法！-Penalty function to solve the optimization problem, the most direct and effective physical meaning is clear!
Constraint-random-direction-method
- 求解优化问题的基础性方法，程序清楚简单。-Basic method for solving optimization problems, procedures clear and simple.
OS-ELM
- 线性极限学习机，对于黄广斌提出的极限学习机进行改进后的代码-Limit linear learning machine, learning the limits proposed for Huangguang Bin native code will be improved
pso
- 基于pso的一个应用
KNN
- 人工智能，机器学习。使用python语言实现KNN算法，解决预测问题。-Artificial intelligence
onetooneValidation
- LIBSVM中提取与分类有关的Java部分，其中包括模型的训练和测试及模型的加载和存储。对于多分类采用成对分类进行。-LIBSVM Extraction and classification related to Java section, which includes load and store training and testing and verification of the model. For multi-classification pairwise classificatio
Chapter-IV-Decision-Tree
- 第四章 决策树-Chapter IV Decision Tree
SparseAutoencoder
- 深度学习自动编码机MATLAB实现，包含测试数据文件-Depth learning machine automatic coding MATLAB realization
CNNs
- lr.py是用python实现了逻辑回归的源代码，并附带有注释。mlp.py是用python实现了多层感知机的源代码，并附带有注释。LeNetConvPoolLayer.py是用python实现了LeNet网络，并附带有注释。该文件需要引用mlp.py。-lr.py is python source code achieving a logistic regression , along with comments. mlp.py realized MLP by python, along wi
zhuangtaikafangjianyanfa
- 状态卡方检验法主要是通过卡尔曼滤波器的状态来估计系统是否故障。，该程序是GPS/INS的组合。-Status chi-square test method is mainly through state Kalman filter to estimate the system malfunctions. The program is a combination of GPS/INS' s.