异步电动机的模糊控制的仿真,大家一起研究.

西安电子科技大学模式识别原理与应用课件1-Xi" an University of Electronic Science and Technology Pattern Recognition Theory and Application of a courseware

采用的是康力山等人确定的实验参数。 对于n个城市的旅行商问题，其参数如下： 初始温度：t0=280, 每一个温度下采用固定的迭代次数L=100n, 温度的衰减系数alpha=0.92 算法停止的准则是当相邻两个温度得到的解变化很小时算法停止。-used the Stanozolol Hill were determined by the experimental parameters. N cities for the traveling salesman problem, the parameters are as follows : initial temperature : t0 = 280, each a fixed temperature of the iteration number L = 100n, temperature attenuation coefficient alpha = 0.92 algorithm to stop the criteria when two adjacent the temperature change was very Solution Algorithm stop.

线性神经网络应用实例-linear neural network application

基于神经网络的电离层F2层临界频率预测方法 基于神经网络的电离层F2层临界频率预测方法-Based on neural network of ionospheric layer F2 critical frequency forecasting methods based on neural network of ionospheric layer F2 critical frequency forecasting methods

solve the 8-puzzle problem using A* algorithm. Definitely written by my self, also include BGI graphics library output.-solve the 8-puzzle problem using A* algori thm. Definitely written by my self. NBS also include graphics library output.

模糊K近邻分类器，模式识别和机器学习经常要使用的一个分类器-K neighbor fuzzy classifier, pattern recognition and machine learning are often used in a classifier

这是好用的源代码-This is the source code handy

神经网络的应用程序，里面实现有一定的价值，有较强的参考价值和利用价值-Neural network applications, which achieve a certain degree of value, have a stronger reference to the value and use value

人工智能GA问题的C语言实现，已经调试通过，含源程序和实验报告-the C language, debugging, and experiment with the source report

A星算法实现最短路径的选择,使用方便，功能完善，是学习人工智能作业中必须完成的一步。-Choose the shortest path by the method of AStar