Visual studio 2005,C#开发 具有人工智能，可采用人工下棋、电脑参谋、电脑下棋等模式参加互联网比赛。采用ClickOnce发...

这个程序是一个六子棋对弈引擎，采用六子棋标准对弈协议，在对弈平台下可以实现人机对弈或者程序间对弈。具有较好的棋力。-This procedure is a sub-six chess game engine, the use of six sub-standard chess game agreement, in the game platform can be achieved between man-machine chess game or program.棋力good.

遗传算法在路由优化中的应用:多服务质量的最小路径的算法.-Genetic Algorithm in Routing Optimization: Multi-service quality of the minimum path algorithm.

无先导粒子滤波器工具箱，并附带pf，kf，Ukf程序，用于跟踪估计-without leading particle filter toolbox and fringe pf, kf, Ukf procedures for tracking estimates

基于MATLAB完成的神经网络源程序 大家-Based on the MATLAB neural network to complete the U.S. source

落煤残存瓦斯量的确定是采掘工作面瓦斯涌出量预测的重要环节,它直接影响着采掘工作面瓦斯涌出量预测的精度,并与煤的变质程度、落煤粒度、原始瓦斯含量、暴露时间等影响因素呈非线性关系。人工神经网络具有表示任意非线性关系和学习的能力,是解决复杂非线性、不确定性和时变性问题的新思想和新方法。基于此,作者提出自适应神经网络的落煤残存瓦斯量预测模型,并结合不同矿井落煤残存瓦斯量的实际测定结果进行验证研究。结果表明,自适应调整权值的变步长BP神经网络模型预测精度高,收敛速度快 该预测模型的应用可为采掘工作面瓦斯涌出量的动态预测提供可靠的基础数据,为采掘工作面落煤残存瓦斯量的确定提出了一种全新的方法和思路。-charged residual coal gas is to determine the volume of mining gas emission rate forecast an important link, which directly affect mining gas emission rate forecast accuracy, and with coal metamorphism, loading coal particle size, the original gas content, exposure time and other factors nonlinear relationship. Artificial neural networks have expressed arbitrary nonlinear relationships and the ability to solve complex nonlinear, time-varying uncertainty and the new ideas and new approaches. Based on this, the author of adaptive neural network loading coal residual gas production forecast model, and a combination of different loading coal mine gas remnants of the actual test results of research

模式识别中的ISODATA算法演示-pattern recognition algorithms demonstrated the ISODATA

matlab 模拟退火算法simulated anealing 的工具箱-Matlab simulated annealing simulated anealing the Toolbox

RBF网络用于函数逼近的一个程序！内部包含几个关于RBF网络的几个算法。-RBF network for function approximation of a process! Internal contains several of the RBF network of several algorithms.

神经网络BP算法源代码-BP neural network algorithm C sourcecode

机器人仿真软件有助于从事着学习，方便编程操作，能很快的知其原理-Robot simulation software helps to engage with learning, to facilitate programming operations, will soon know the principle of