EKF

遗传算法解决随机期望值模型问题的例题-random genetic algorithms to solve the problem expectations model example

height 遗传身高计算 根据父母的升高计算后代身高-height

illustrate Genetic Algorithm with Island model, written in C#.

用BP神经网络进行对啤酒质量的识别，各个参数可以自己进行修改。-Using BP neural network to identify the quality of beer, all parameters can be modified.

数字图形图形处理中的一个很有用的算法，好不容易搞到的-Digital graphics graphics processing in a useful algorithm, finally got the

用网格优化算法求解tsp问题。。。matlab编写。附有城市坐标用于检验。 -Mesh optimization algorithm used to solve the problem tsp. . . matlab prepared. Coordinate with the city for inspection.

K-均值聚类算法的编程实现。包括逐点聚类和批处理聚类。K－均值聚类的的时间复杂度是n*k*m，其中n为样本数，k为类别数，m为样本维数。这个时间复杂度是相当客观的。因为如果用每秒10亿次的计算机对50个样本采用穷举法分两类，寻找最优，列举一遍约66.7天，分成3类，则要约3500万年。针对算法局部最优的缺点，本人正在编制模拟退火程序进行改进。希望及早奉给大家，倾听高手教诲。-K-means clustering algorithm programming. Point by point, including clustering and clustering batch. K-means clustering of the time complexity of n* k* m, n samples, several types of k, m sample dimension. The time complexity is a very objective. Because if we use one billion times per second the computer using 50 samples of two exhaustive method to find the optimal set out again about 66.7 days, divided into three categories, offering 3,500 years. Local optimal algorithm against the shortcomings, I was prepared simulated annealing process improvements. Early Feng hope for everyone, listen to the master teachings.

基本的BP神经网络框架，比较适用于初学者快速掌握神经网络的构成。-basic framework BP neural network, suitable for beginners to grasp the composition of neural networks.

用C++实现遗传算法求解TSP问题.txt-C++ for TSP

利用遗传算法求解TSP的源代码程序 可以精确求出50城市-The use of genetic algorithm to solve TSP program source code can be precisely calculated 50 cities