资源列表
k-means.py
- 通过python实现了k-means分类。(The python implementation of the K-means classification.)
mie
- 与遗传算法结合，处理异常方程组，，，，，，，，，，(Combining with genetic algorithm to deal with abnormal equations)
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.)
seq2seq
- python基于tflearn实现nlp中seq2seq算法(this code implements the seq2seq algorithm using python and tflearn frame.)
6.代码
- 实现分类,回归的算法，可以直接下载运行验证(Implementation of classification, regression algorithm, can be directly downloaded operation verification)
ACO程序 含数据示例
- 蚁群算法，内含详细的代码和数据。亲测可用(Ant colony algorithm with detailed code and data)
案例1
- BP神经网络实现识别，用BP实现分类代码(Recognition of BP neural network)
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.)
nickdong-matlab-ann-30-cases-master
- 基于MATLAB平台的神经网络的30个案例(30 cases of neural network based on MATLAB platform)
nickdong-matlab-ann-43-cases-master
- 基于MATLAB平台的机器学习的43个案例(43 cases of neural network based on MATLAB platform)