这还是一个蚁群算法实验室,不过内容要更为详细,看得更为清楚,可以用它来理解蚁群的整个觅食过程....

ART2自组织神经网络vc++源程序，调试通过，可以使用。-ART2 self-organizing neural network vc++ Source code, debugging through, you can use.

仿真人工智能是指用人工的方法和技术，模仿、延伸和扩展人的智能，实现机器的智能化，人工情感指用人工的方法和技术，模仿、延伸和扩展人的情感，使机器具有识别、理解和表达情感的能力。

车辆识别-vehicle identification

编写的BP算法的软件模拟 在Turbo c++3.0环境下编译通过-prepared by BP algorithm in the software simulation 3.0 Turbo c compiler environment through

（其中已经包含5个源码）所附源程序C或C++代码文件及其可执行文件 Scs.cpp 基本分类算法源程序， 输入数据文件cfile.txt,efile.txt,gfile.txt,pfile.txt ,rfile.txt,tfile.txt Sga.c 基本遗传算法源程序, 输入数据文件input，输出文件output A_life.c 基于遗传算法的人工生命模拟源程序, 输入数据文件world GA_nn.c 基于遗传算法优化神经网络结构源程序,输入数据文件sample Patmat.c 基于遗传算法提取基元图形源程序-(which includes five OSS) attached to C or C source code files and executable files Scs.c pp basic classification algorithm source files, input data files cfile.txt, efile.txt. gfile.txt, pfile.txt, rfile.txt. tfile.txt Sga.c basic genetic algorithm source files, input data files input, output file output A_life.c based on genetic algorithm simulation source Artificial Life, import data files GA_nn.c world based on genetic algorithm optimization neural network structure source, import data files Patmat.c sample extraction based on genetic algorithm-based graphic source yuan

粗糙集软件Rosetta，由挪威科技大学计算机与信息科学系和波兰华沙大学数学研究所合作开发的一个基于Rough集理论框架的表格逻辑数据分析工具包-Rough Set software, Rosetta, by the Norwegian University of Science and Technology, Department of Computer and Information Science, University of Warsaw, Poland Institute of Mathematics, co-developed a theoretical framework based on Rough Set the table logical data analysis tool pack

自已写的Adaboost使用Haalike feature，去Detection-Adaboost use their own written Haalike feature, to Detection

采用遗传模拟退火的方法解决TSP问题，界面友好，程序运算效果很好-genetic simulated annealing method to solve the TSP, friendly interface and operation procedures with good results

人工神经网络bp算法的matlab实现，对bp算法的matlab实现进行了简要的试探-realizing bp arithmetic of neural networks by matlab and exploring it simply.

附加了动量项BP神经网络-Additional items of Momentum BP neural network