资源列表
EA-and-PSO
- 介绍了基础的遗传算法和粒子群算法。还有他们的基本实现。适合入门的同学做一下简单实验。-Introduces the basic genetic algorithm and particle swarm algorithm. And their basic realization. Students for entry to do something simple experiment.
pso-ppt-sample
- 微粒群优化算法 (PSO) 是一种进化计算技术 , 由Eberhart博士和kennedy博士于1995年提出。微粒群优化算法的基本思想是通过群体中个体之间的协作和信息共享来寻找最优解。 -Particle Swarm Optimization (PSO) is an evolutionary computation technique, by Dr. Eberhart and Dr. kennedy made in 1995. Particle Swarm Optimization Alg
cec2009_mts_code
- cec2009测试函数,用于测试新的算法,cec2009为多目标测试函数-cec2009 test function
Fuzzy-logic-MPPT-PV-2011
- Fuzzy-Logic-Control Approach of a Modified Hill-Climbing Method for Maximum Power Point in Microgrid Standalone Photovoltaic System
K-Meansl
- 自己编写了一个c++的k均值聚类算法,使用起来很方便,数据存储在txt文件里,可以 改成自己的数据,方便使用,目录里给了两组UCI机器学习数据库上的数据,供实验用 。可以用这个文件直接运行就好了,里面给出了详细的使用说明。-k means clustering by array.
notes-machine-learning
- PRML学习笔记,包括机器学习的基础理论只是,提供曲线拟合的Python 代码-notes for prml
intelligent-detection
- c++神经网络函数拟合程序。一个简单的C++编写的神经网络程序,用于函数拟合-C++ neural network function fitting program. A simple C++, prepared by the neural network program for the fitting function
10
- A Stair-shaped CPW-fed Printed UWB Antenna for Wireless Body Area Network
Neural-network-algorithm
- 神经网络算法源程序,包含8种神经网络,在VC环境中运行-Neural network algorithm source code, contains 8 kinds of neural networks
pr_basic_code
- 模式识别基本方法matlab源代码,包括最小二乘法、SVM、神经网络、1_k近邻法、剪辑法、特征选择和特征变换-Basic method of pattern recognition matlab source code, including the least squares method, SVM, neural networks, 1_k neighbor method, the clip method, feature selection and feature transformati
NSGA-II(2000)
- 这是多目标优化问题的经典文章,值得研究。A Fast and Elitist Multi-Objective Genetic Algorithm NSGA-II (2000)-A Fast and Elitist Multi-Objective Genetic Algorithm NSGA-II (2000)
MN
- 模拟退火算法的实现代码,很好的例子,有助于学习算法。(Simulated annealing algorithm implementation code, a very good example of learning algorithm.)