资源列表
Main_Controller_Lib
- Simulink for turbine generating main controller section.
c4.5
- python编写的c4.5算法实现，含数据读入和正确率计算，非常直观，含代码注解(The implementation of the C4.5 algorithm written by python, which contains data reading and correct rate calculation, is very intuitive and contains code annotation.)
ID3
- python编写的ID3算法实现，含数据读入和正确率计算，非常直观，含代码注解(The implementation of the ID3 algorithm written by python, which contains data reading and correct rate calculation, is very intuitive and contains code annotation.)
Python for network worm
- 基于selenium的网络爬虫，主要是从网站爬取数据信息用来进行分析和挖掘潜在的商业价值(Internet worm based on selenium)
random line
- 对自定义字符的指定个数生成随机不重复（+-3）序列(Generate random non-repeating(+-3) sequences for the specified number of custom characters)
MATLAB-gongetidufa
- 共轭梯度法求解对称正定线性方程组，用MATLAB得到的程序(Conjugate Gradient Method for Solving Symmetric Positive Definite Linear Equations, Using MATLAB to Get the Program)
lagrange_interpolation_www.matlabsite.com
- lagrange program code in matlab
Genetic Algorithm - (www.CFDiran.ir)
- genetic program code in matlab
Ant_System_TSP_Solver
- fortran code for solving problem
kaerman
- matlab实现卡尔曼滤波示例，初学者适用，见谅(Matlab implementation of Calman filtering examples)
机器学习与数据挖掘方法和应用
- 本书分为5个部分，共18章，较为全面地介绍了机器学习的基本概念，并讨论了数据挖掘和知识发现中的有关问题及多策略学习方法，具体地阐述了机器学习与数据挖掘在工程设计，文本、图像和音乐，网页分析、计算机病毒和计算机控制，医疗诊断、生物医疗信号分析和水质分析中的生物信号处理等方面的应用情况。本书收集众多不同领域中数据挖掘的实际案例，以此来说明数据挖掘的具体解决方法，以期为广大读者提供一个更为广阔的数据挖掘(The book is divided into 5 parts, 18 chapters, a
机器学习实战(中文，英文原版及源码)
- 机器学习是人工智能研究领域中一个极其重要的研究方向，在现今的大数据时代背景下，捕获数据并从中萃取有价值的信息或模式，成为各行业求生存、谋发展的决定性手段，这使得这一过去为分析师和数学家所专属的研究领域越来越为人们所瞩目。(Machine learning is a very important research direction in the research field of artificial intelligence, big data in the background, infor