资源列表
BSA
- BSA-鸟群算法2015提出的仿生群智能优化算法，包括源码和论文。-BSA- bird swarm algorithm 2015 proposed bionic swarm intelligence optimization algorithm, including source code and papers.
GAdemo
- 一个介绍遗传算法的例子，并且编程实现，代码有详细介绍-An example of a presentation on genetic algorithm and programming code are described in detail
train_RBF_matlab
- RBF神经网络Matlab代码，简单实用，非常适合刚接触神经网络的初学者。-RBF neural network Matlab code, simple and practical, very suitable for beginners new to the neural network.
cclassify
- 把许多点分成n类，n由用户输入，采用c均值算法-Putting points into n groups, n input by the user, using c-means algorithm
Ada_SVM
- AdaBoost 和SVM 组合 分类识别代码-combine AdaBoost and SVM to classification
series_mdl_1line
- 串并联换流器电力电子仿真分析和计算，进行解耦功率控制-electrics and simulink
Adaboost_Std_full
- 基于AdaBoost的面部图像男女性别的识别过程。深入的对算法进行了解。-Based on AdaBoost sexes in facial image recognition process. An in-depth understanding of algorithm.
SFKF
- 强跟踪滤波器，可用于最优估计,用于故障诊断-strong kalman filtering
PSO
- 粒子群算法是一种新的模仿鸟类群体行为的智能优化算法，在函数优化、图像压缩和基因聚类中的应用。-Particle Swarm is a new group of birds to imitate the behavior of intelligent optimization algorithm, function optimization, image compression and gene clustering applications.
CS_SVM
- 我们使用布谷鸟智能算法优化SVM的参数（c,g）以此提高SVM的预测能力。-We use the cuckoo intelligent algorithm to optimize the parameters of the SVM (c, g) in order to improve the prediction ability of SVM.
Principle-of-neural-network
- 详细介绍了神经网络的原理及学习过程、径向基函数的选择及支持向量机的原理、前馈过程神经网络的时序处理及神经网络动态规划，有助于初学者深入了解神经网络的工作原理及运行机制。-Described in detail the neural network principle and learning process, radial basis function selection and support vector machine principle, feedforward process neur
rosenblatt
- matlab实现了Rosenblatt分类器，其中包括了生成随机数据的函数，以及主要算法，可以直接执行。-matlab implements Rosenblatt classifier, including function, and the main algorithm to generate random data can be directly d.