资源列表
遗传算法对BP网络权值阈值进行优化实例
- 遗传算法对BP神经网络权阈值进行优化，运行可用(Genetic algorithm is used to optimize the weight threshold of BP neural network.)
lle
- 实现非线性的数据降维，很简单的代码，比较容易明白(Achieve nonlinear data dimensionality reduction, very simple code, easier to understand.)
SVM
- 调用于sklearn平台的支持向量机算法，有着较好的分类能力(The support vector machine algorithm for sklearn platform has good classification ability)
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)