Research based on genetic programming evolutionary algorithm for the sustainabil...

这是目前网上所能找到的最全面的adaboost的C++算法，但是需要自己训练的数据-This is the Internet can find the most comprehensive adaboost C algorithms, However, it needs its own training data

bayes network 的分三角形的算法-bayes network breakdown triangle algorithm

用GAlib库实现的解决0/1背包问题的遗传算法程序源代码。- Solution 0/1 knapsack question heredity algorithm procedure source code realizes which with the GAlib storehouse.

本算法采用最基本的遗传算法编写，有利于初学者掌握遗传算法的构成。-This algorithm is written by the most fundamental genetic algorithm,benefit the beginner to know the structure of genetic algorithm

用matlab语言编写的,该程序名为模拟退火算法m 源程序-Matlab language used, the procedure called simulated annealing algorithm m source

本人编写的GramSchmidt神经网络算法，和传统的神经网络算法比较，该算法能自动产生神经元，节约时间，速度快！ 本人还加了自动产生分类的方法和适合各种函数的转换，该zip包括两个文件，一个是GramSchmidt正交分解，是个子函数，主函数是orth_GramSchmidt，放在同一目录下，就可运行，可以对benchmark的逼近和分类问题提供解决方案-I prepared GramSchmidt neural network algorithm, and the traditional neural network algorithm, the algorithm can automatically generate neurons, saving time, fast! I also added a method of automatically generated classification and conversion for a variety of functions, the zip includes two documents, one is GramSchmidt orthogonal decomposition is a sub-function, the main function is orth_GramSchmidt, on the same directory, you can run can benchmark approximation and classification problems to provide solutions

神经网络C语言源程序 绝对经典。 ADALINE,ART1,BAM,BOLTZMAN,BPN CPN,hopfield, som, -neural network C language source absolute classic. ADALINE, ART1, BAM, BOLTZMAN, CPN 7.82, hopfield, som.

遗传算法解决双变量的函数最优化问题，有按钮的界面，用bc所编，生动模拟遗传进化过程-genetic algorithm to solve the two- variable optimization function, the button interface, using bc prepared by the vivid simulation of the process of genetic evolution

2值图像的扫描线2值聚类算法，可实现2值图像的准确聚类-2 the value of the image scan line 2, the value of clustering algorithm can realize the exact 2-level image clustering

2005年10月份自写的细菌分割、标号与面积统计程序。带测试图像-in October 2005 since the bacteria was divided, with the label area statistical procedures. With test images