资源列表
potential_12
- 基于人工势场的路径规划算法及其具体的实现
bpwl_fortran
- 神经网络 源码BP神经网络用于计算分类-聚类分析等- BP-neural network sound code
KNN
- In pattern recognition, the k-Nearest Neighbors algorithm (or k-NN for short) is a non-parametric method used for classification and regression
ex4_2
- 离散动态规划一实例,最优控制理论与系统,例4-2-about discrete dynamic programming
psosuanfa
- 关于粒子群算法的小程序,个人认为比较有用-you yong
DLA
- 基于分片重排列技术的维数约简方法,用于特征提取。-Patch Alignment for Dimensionality Reduction,IEEETrans.,2009.
bayes
- 用Python写的,基于概率论的分类方法,朴素贝叶斯分类器-Written in Python, based on probability theory classification, naive Bayes classifier
apriori
- 机器学习算法,使用Apriori算法进行关联分析,频繁项集,关联规则-Machine learning algorithms, Apriori algorithm using correlation analysis, frequent itemsets, association rules
k-means
- k-means算法实现的数据分类,python代码,可直接运行(K-means algorithm to achieve data classification, Python code, can be run directly)
道格拉斯普克抽稀算法
- 道格拉斯-普克抽稀算法python实现。用于空间数据抽稀。(Douglas-Puck thinning algorithm implemented in python. Used for thinning spatial data.)
matlab动物识别系统
- matlab环境下运行算法,进行提取特征,机器学习并进行识别,开发了动物识别系统,该系统简单实用。(Identify animals by their characteristics)
人工智能算法-蚁群算法
- 人工智能算法中的蚁群算法,可应用于多项约束下的最优规划问题。(The ant colony algorithm in artificial intelligence algorithms can be applied to optimal planning problems under multiple constraints.)