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FullBNT-1.0.4
- MIT博士生开发的功能极强大的贝叶斯网络工具箱(MATLAB环境下),支持多种参数学习和结构学习算法,内附详细说明-MIT doctoral developed extremely powerful Bayesian Network Toolbox (MATLAB environment) to support a variety of parameter learning and structure learning algorithm, containing a detailed descr
fen-V7.4
- Pattern Recognition bayes discriminant analysis algorithm, Prediction Error Method for Parameter Identification - the idea of relaxation, MIT Artificial Intelligence Laboratory identification of the target source.
GA-BP
- 算法基本要素: 1.染色体编码方法 2.适应度函数 3.遗传操作—-(选择、交叉、变异) 4.运行参数—(参数:群体大小M、遗传代数G、交叉概率Pc和变异概率Pm)(Basic elements of algorithm: 1. chromosome coding method 2. fitness function 3. - the genetic operation (selection, crossover and mutation) 4. operating pa
KRR
- 核岭回归算法 输入数据集(需要分开存放训练集和测试集) 利用4重交叉验证法调参 最后输出分类准确率(Kernel ridge regression algorithm Input data set (training set and test set need to be stored separately) Parameter adjustment by 4-fold cross validation Final output classification accuracy)