资源列表
SVM-kernel
- SVM核函数源代码，用matlab语言编写的，适用于分类及相关问题的分析-The SVM kernel function source code, written with matlab language, suitable for classification and analysis of the related problem
SVM-output
- SVM输出预测结果源代码，用matlab语言编写的，适用于分类及相关问题的分析-SVM output prediction results source code, written with matlab language, suitable for classification and analysis of the related problem
kmeans
- matlab实现的k均值聚类算法，能对不同维度的数据进行聚类，有测试程序，欢迎下载-k-means clustering algorithm matlab implementation, capable of clustering data in different dimensions, with a test program, welcome to download
Two-rigid-Link-Dynamics
- 刚性两杆机构的动力学程序，为机器人动力学建模以及控制打下基础，与很多方法不同的是，这里采用龙格库塔法，显著提高运算精度-Rigid body dynamics program two shots for robot dynamics modeling and control of the foundation, with a lot of different methods is used here Runge-Kutta method, significantly improving oper
GA_x2
- 遗传算法源程序，有利于理解遗传算法的步骤及使用-Genetic algorithm source code, help understand the steps and the use of genetic algorithms
Kmeanc
- 卡尔曼滤波的基本原理，有利于对卡尔曼滤波有更深一步的理解-The basic principle of the Kalman filter, it is beneficial for a deeper understanding of thethe Kalman filter.
PSOA_cheng
- 粒子群算法实例，有助于深刻理解粒子群算法的应用-Particle Swarm instance, help a deep understanding of the application of the particle swarm algorithm
ga-java
- 用java实现的ga算法 结构清晰 注释比较详细-GA algorithm java implementation of clear structure more detailed notes
probabilistic-neural-network
- 基于概率神经网络的柴油机故障诊断，对象可以换，希望对大家有用，多向大家学习交流，望采纳！-Based on probabilistic neural network fault diagnosis of diesel engine, the object can change, hope useful for everyone, learn a lot you communicate, hope to adopt!
GA_NN
- 将遗传算法和神经网络进行结合，有效解决神经网络局部最优的缺陷，可用于数据融合-Genetic algorithms and neural networks combined, effective solution to local optimum defect of neural networks can be used for data fusion
LPP
- 局部保持投影（LPP），用于人脸的模式识别，亦可以用来分类，大家讨论讨论，不足的地方改进！-Local projection (LPP), pattern recognition for face, also can be used in the classification, we discuss, insufficient place improvement!
BGA1031003
- // Simple Genetic Algorithm // binary coded // roulette wheel method // function f(x) = 21.5+x*sin(4*pi*x)-// Simple Genetic Algorithm // binary coded // roulette wheel method // function f(x) = 21.5+x*sin(4*pi*x)