资源列表
《MATLAB 神经网络43个案例分析》源代码&数据
- MATLAB 神经网络43个案例分析的源代码及数据(43 case analysis of source code and data for MATLAB neural network)
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.)
算法
- 编程语言为C++的几个常见算法源码,提供给大家(Programming language for C++ several common algorithm source code, to everyone.)
I-75
- Radial Basis Functions
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)