用元胞自动机实现单色10000个空间位置的细菌分裂试验的算法C语言代码...

蚁群算法源代码，一个老外的例子-ant colony algorithm source code and an example of a foreigner

HTK系列的，参考资料，应该挺有用的，大家自己看看吧！-HTK Series, reference should be quite useless, we all see!

一个很好的中国象棋源代码 本人机对弈程序采用了多种搜索算法. 本程序还具有悔棋,还原功能,还可以记录走法.-a good source of Chinese chess game machine code, I use a variety of procedures for search algorithm. The procedure also has to repent Mullick, recovery capabilities, but also can be recorded in law.

nnToolKit 神经网络工具包是基于 MATLAB 神经网络工具箱自行开发的一组神经网络算法函数库，其中的函数在MATLAB环境下均可独立运行，并可打包成DLL组件，这些组件作为独立的COM对象，可以直接被Visual Basic、Visual C++ 、C++ Builder或其它支持COM的高级语言所引用。本工具包中包含的算法包括BP算法中的一些改进算法、模糊神经网络、小波神经网络、遗传算法优化神经网络权值改进算法等，根据需要，读者还可以对该工具包进行扩展，即扩充一些新的函数，以实现特殊的算法需求。-nnToolKit neural network tool kit is based on the MATLAB neural network toolbox developed by a group of neural network algorithm library, which functions in the MATLAB environment can be run independently, and packaged into a DLL components, these components as a separate COM object, can be directly by Visual Basic, Visual C++, C++ Builder or other high-level language support COM quoted. The toolkit includes algorithms, including some of the BP algorithm to improve the algorithm, fuzzy neural network, wavelet neural networks, genetic algorithms to optimize neural network weights to improve the algorithm, if necessary, readers can also expand the tool kit, namely the expansion of some new function, the algorithm in order to achieve sp

netlogo实现的二元货物的模拟仿真模型-netlogo to achieve the dual cargo simulation model

本程序是人工编写的bp神经网络，针对识别样本btw三类进行训练和识别。-This procedure is prepared bp artificial neural networks, btw samples for identification of three types of training and identification.

遗传算法优化神经网络的C源程序- Heredity algorithm optimization nerve network C source program

XCS是一种新的人工智能算法

迁移学习的经典文章，大多为国际顶级会议论文-Transfer of learning classic articles, most of the international top-level Conference Papers

用VB编写得罗茨泵泄漏量计算，这可是花费了我半年得时间，贡献了！-VB prepared with a Roots pump leakage calculation, it is six months I have spent time and contributed!