资源列表
Naive Bayes
- 调用于sklearn平台的朴素贝叶斯算法，有着较好的分类能力(The naive bayes algorithm for sklearn platform is a good classification capability.)
ANN
- 调用于sklearn平台的人工神经网络算法，有着较好的分类能力(The artificial neural network algorithm used in sklearn platform has good classification ability.)
logisitc regression
- 利用逻辑回归原理算法实现经典的鸢尾花分类问题(Using logistic regression algorithm to realize classical iris classification problem)
LM神经网络模型代码
- 使用LM神经网络分类，程序源码。LM神经网络能达到很好的分类效果。(Using LM neural network classification)
qwe
- 神经网络中网络结构哦、初始连接权值和阈值的选择对网络训练的影响很大，用遗传算法的神经网络进行优化。(The choice of network structure, initial connection weight and threshold in neural network has a great influence on network training, and is optimized by the neural network of genetic algorithm.)
dfa.py
- dfa 验证机，可以用于AI校验，敏感词校验，以及机器学习(dfa verification machine)
PB
- 人工神经网络中的线性网络——单输入-单输出(Linear network in artificial neural network -- single input single output)
psoSphere
- pos算法是一种智能算法，具有很好的收敛特性，且能够很好的对问题进行优化，从而获得良好的计算结果。(The pos algorithm is an intelligent algorithm, has good convergence characteristics, and can be a good optimization of the problem, so as to obtain good calculation results.)
SVM for iris
- R语言代码 关于svm的，希望大家学习一下(R language code svm, I hope you learn)
somnetSIM
- 基于MATLAB语言，建立、训练、仿真som神经网络。(base on MATLAB Build, train and simulate som network.)
svm_test
- 支持向量机一个小例子,使用的例子是鸢尾花， 使用rbf核映射(a simple example of svm(support vector machine))
shujvwajue
- Apriori算法C++实现，备注见代码，读取数据文件可用，格式为多行数据。数字代表事物(Apriori algorithm C++ implementation, notes see code, read data files available, format for multi row data. Numbers represent things)