Genetic algorithm (GA) combined with the traditional SVM algorithm, a kind of te...

基于遗传算法的基元识别与提取，C++源代码-Based on genetic algorithm identification and extraction of primitives, C++ Source code

机器人接口程序框架，需要搞机器人的同志不用自己搞框架了-Robot interface program framework, the need to engage in robot comrades do not have to engage in the framework of the

Machine Learning Weka 数据变换，给Arff文件加载权值，变换为XRFF文件。-Machine Learning Weka data transformation to Arff file to load the right value, transform paper to XRFF.

使用matlab应用遗传算法进行函数优化-Using genetic algorithm in matlab to optimize function

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SOM算法,matlab程序,是经典的教科书的例子程序-SOM algorithm, Matlab procedures, are classic textbook example of procedures

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.

模式识别与人工智能中经典算法younger算法的实现及应用-Pattern Recognition and Artificial Intelligence in the classical algorithm younger Algorithm and Application

vb写的改进的遗传算法程序。是一些通用代码，与具体问题对应的代码空出来，用的时候填进去。根据我的经验，要想用好遗传算法，代码必须自己写，因为问题不同，编码，杂交，变异算子可能都不一样。特别是杂交算子，需要根据问题调整，甚至创造出新的杂交方法。而且适应度计算的代码也需要自己写，特别是带约束的优化问题 -vb write improvement in the genetic algorithm. Some common code, with the specific issues the corresponding code space, and the time spent filling into account. According to my experience, in order to make good use of genetic algorithms, code must write their own, because different issues, coding, hybridization and mutation operator may not like. In particular hybrid operator, the need to adjust the problem, or even create a new hybrid method. But fitness calculation of the code required to write their own, especially with the constrained optimization problem

提供了深度优先搜索,广度优先搜索,添加启发信息的最小代价搜索,查找多个解,查找最优解的范例程序.-a depth-first search, breadth- first search, add the information inspired the minimum price for a search of solutions to search, find out the optimal solution sample programs.