资源列表
dpca
- 自动选择聚类中心的快速搜索密度峰值聚类算法(A fast search algorithm for density peak clustering based on automatic selection of clustering centers)
netlab模式分析工具箱
- matla模式识别工具箱,图像模式识别工具箱。辅助判别分析研究。(Matla pattern recognition toolbox, image pattern recognition toolbox. Auxiliary discriminant analysis.)
lvq
- 自己乱改进的lvq神经网络算法,还有很大的改进空间,希望有人和我交流(just change something to lvq)
B_M算法
- 线性反馈移位寄存器序列求解极小多项式的BM算法(a method to find a minimum polinomial of a LFSR)
safety
- 基于神经网络算法的安全事故预测代码,根据每年发生事故工人人数,事件次数。(Safety accident prediction code based on neural network algorithm)
BP神经网络数据分类
- BP神经网络数据分类,包含源代码,很适合初学者使用(The file includes BP network's progranmme,it's useful and you can use it to learn BP network.)
遗传算法
- 解决遗传算法实际应用问题,适合初学者学习(Solving genetic algorithm problems)
StockSVM
- svm量化投资模型构建。预测股票的涨跌幅,以k线为基准(analyse stock "up" or 'down',based on svm model and daily k value)
《神经网络与深度学习》Michael Nielsen
- 这本书最初是我学习 Neural Networks and Deep Learning 时做的中?笔记,因为原书中有很 A A 多数学公式,所以我? LT E X 来编写和排版,并将所有 LT E X 源码放置在 GitHub。其中部分内容 取? Xiaohu Zhu 已经完成的翻译来避免重复的?作。(This book was originally Neural Networks and Deep Learning I learned to do in notes, because there
Python-ELM-master
- 极限学习机的 python实现,可用于回归,多分类问题等。(The python coad of the extreme learning machine which can be used for regression, multiple classification problems, etc.)
原始的粒子群算法
- 文章为最原始的粒子群多目标算法,已经调通,供大家学习和研究。(The article is the original particle swarm multi-objective algorithm, it has been transferred for everyone to learn an d study.)
第二讲 数据挖掘概述
- 详细介绍了数据挖掘的几种方式,以及应用场景,适合初学者(Details of several ways of data mining, as well as application scenarios, suitable for beginners)