资源列表
PID-parameters-optimization
- 压缩文件中的内容是采用群体智能算法PSO对控制系统的参数进行优化设计。-The contents of the compressed file is the use of swarm intelligence algorithm PSO to optimize the design parameters of the control system.
swarm-intelligence-algorithm
- 压缩文件内是一本有关群体智能算法的中文专著，文中详细介绍了粒子群优化算法的原理，并用案例对其进行了详细讲解。-The compressed file is a monograph on swarm intelligence algorithms Chinese paper describes in detail the principle of the particle swarm optimization algorithm, and a case be explained in detail
Dissertation-For-PSO
- 一篇关于粒子群算法的毕业论文，文中对算法进行了详细分析，并在Matlab环境下，对算法不同的适应度进行了仿真和分析。-A thesis on particle swarm optimization, the text of the algorithm are analyzed in detail in the Matlab environment, simulation and analysis algorithms fitness.
SPSO-matlab
- 压缩文件内是标准粒子群SPSO算法的Matlab实现，供大家学习和借鉴。-Compressed file SPSO of standard particle swarm algorithm Matlab, for everyone to learn from.
PCA1
- PCA算法对图像进行压缩，并评价压缩效果-Use PCA arithmetic to compress photographic images, and evaluate the compressing result.
decisionTree
- 简单的人工智能程序源码，很有效的帮助理解人工智能中决策树模型的工作方式及原理。-Simple artificial intelligence program source code, very effective to help understand the work and principles of artificial intelligence in the decision tree model.
random-subspace-classifier-ensemble
- 随机子空间集成分类器, 可以实现比bagging 更好的分类和识别-Random subspace classifier ensemble
SVM-iris
- 在matlab环境下，实现鸢尾花数据库的SVM分类，没有使用现成的工具包。-SVM classifier in Matlab environment, iris database, do not use off-the-shelf tool kit.
Bayes-iris
- 在matlab环境下，实现鸢尾花数据的贝叶斯分类，没有利用现成的数据命令。-Bayesian classifier in Matlab environment, iris data, there is no off-the-shelf data command.
ANN-iris
- 在matlab环境下，实现鸢尾花数据的人工神经网络分类，只是比较基本的实现BP网络，没有利用现成的命令。-In the Matlab environment, iris data artificial neural network classifier, but more basic BP network, there is no off-the-shelf command.
$N
- 论文$N的源代码,实现了一种多笔画二维手势的识别，具有易实现、简单且效果好的特点。-Papers $ N source code, to achieve a multi-stroke two-dimensional gesture recognition, easy to implement, simple and good effect.
nerualwork
- 小游戏，计算机博弈AI代码，神经网络和遗传算法估值-Games, computer game AI code, neural networks and genetic algorithms valuation