kaerman

Model Reference Adaptive Control

这是一个关于全局的人工鱼群算法的例子，适合初学者学习。(This is an example of global AFSA, for beginners to learn.)

分配问题的实现,是利用匈牙利算法实现的MATLAB代码！(The realization of the distribution is the use of the MATLAB code Hungarian algorithm!)

开发环境:Matlab 简要说明:动量-自适应学习调整算法。在实际应用中，原始的BP算法很难胜任，因此出现了很多的改进算法。BP算法的改进主要有两种途径，一种是采用启发式学习方法，另一种则是采用更有效的优化算法。本例采用动量BP算法，来实现对网络的训练过程，动量法降低了网络对于误差曲面局部细节的敏感性，有效地抑制网络陷于局部极小。(development environment : Matlab Brief Description : Momentum-adaptive learning algorithm adjustments. In practical application, the original BP algorithm competence, resulting in a lot of improved algorithm. BP algorithm improvements There are two main ways of using a heuristic approach to learning Another is the use of a more effective method of optimization. Momentum cases using the BP algorithm to achieve the network training process, Momentum for reducing error of the network for local surface details of the sensitivity, to effectively curb the network into local minima.)

案例源代码实现，用matlab实现定时器的编程代码。(Case source code, using matlab realize the timer programming code.)

总体X服从非中心卡方分布，求两个参数的极大似然估计 输入：样本数据 输出：参数估计值n，v 内有详细说明(Overall X obey non-central chi-square distribution, find the two parameters MLE)

距离函数用matlab实现的距离函数用matlab实现的(Distance function using matlab matlab realize the distance function)

遗传算法应用举例，在使用时可根据具体情况做修改(Application examples of genetic algorithm, when used according to the specific circumstances to make changes)

Applied Numerical Methods Using MATLAB - Yang Cao Chung and Morris

matlab图像转换，本人开发的用于路径规划算法(matlab image conversion)