资源列表
staticlearningwithekernelmethods
- 统计学习理论是建立在一套较坚实的理论基础之上的,为解决有限样本学习问题提供了 一个统一的框架。它能将很多现有方法纳入其中,有望帮助解决许多原来难以解决的问题(比 如神经网络结构及参数选择问题);同时。在这一理论基础上发展了一种新的通用学习方法: 支持向量机(Support Vector Machine,SVM)。它己表现出很多优秀的性能,并已经成为当 今机器学习领域的研究热点。-Statistical learning theory is based on a more soli
PathFinding
- A*算法,迷宫寻路,初步解析A*算法如何在迷宫寻路-Astar
network
- 正则化方法分类器,模式识别,matlab-Regularization method classifier, pattern recognition, matlab
bp
- 人工神经网络,利用matlab工具箱算法-Artificial neural network using matlab toolbox algorithm
GA
- 改进的遗传算法,有兴趣的可以下-Improved genetic algorithms, are interested in can be done next
kalmanzx
- 程序可以实现三维目标的跟踪监控,利用的是扩展卡尔曼滤波器EKF算法-Program can achieve the three-dimensional target tracking control, the use of the extended Kalman filter EKF algorithm
gabriel
- primes factor in scheme
k
- 使用神经网络的K算法来对数据进行分类,有具体的实验要求和图-K using the neural network algorithm to classify the data, there is a specific test requirements and plans
BPsin(xy)
- 用BP神经网络逼近函数Z=SIN(X*Y),采用C++编程.-Using BP neural network to approach the function Z = SIN (X* Y), using C++ programming.
FBP
- 用Fast BP实现复杂的函数逼近,对初学者有一定的帮助,是在BP的基础上增加了R.-Fast BP achieved with a complex function approximation, there is some help for beginners, is based on the BP increase in R.
Neural_network_theory
- 神经网络理论与Matlab R2007实现 源代码-The source code of neural network theory in Matlab R2007
PID
- PID控制算法源代码,详细的注解,在实际应用中,P参数,I参数,D参数,怎么进行整定-PID control algorithm source code, detailed annotations, in practical applications, P parameters, I parameter, D parameters, how to setting