Kalman filter simulator

神经网络技术及其在物化探上的应用，重磁反演的拟人工神经网络BP算法及其应用等。-matlab

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

介绍了根据三菱FX系列PLC编程口通信技术的特点,设计基于VB的PC与PLC机械手远程 控制程序.通过机械手监控系统软件的具体应用,系统地介绍了VB环境下的MSComm通讯控件 ,PLC与上位机的编程口通信协议,系统控制方法设计以及监控软件的实现过程.-Introduced acts according to Mitsubishi FX the series PLC programming mouth communication the characteristic, designs based on VB PC and the PLC manipulator remote control procedure. Through the manipulator supervisory system software s concrete application, introduced systematically VB under the environment MSComm communication controls, PLC and the

这是一种利用bp神经网络来解决异或问题的算法.-bp using neural networks to solve the problems or differences algorithm.

用遗传算法解决八皇后问题！ 有比较详细的注释！ 还有有关遗传算法理论的描述。 -Using genetic algorithms to solve the issue of the eight Queen

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

一个遗传算法的matlab实现源程序。希望对大家有所帮助。-A genetic algorithm matlab source realize. Would like to help everyone.

matlab程序计算经典数学问题：最短路和次短路问题-matlab program calculated the classical mathematical problem: The most short-circuit and sub-shortest path problem

模糊神经网络采用matlab编程 o install NEFCON follow these steps: 1. Unpack the tar file NEFCON.TAR into your MATLAB working directory: tar xf NEFCON.TAR 2. Start MATLAB 3. Change to the installation directory. 4. Change to the NEFCON directory. 5. Start the STARTUP M-file to initialize NEFCON.-FNN using Matlab programming o install NEFCON follow these steps : 1. Unpack the tar file NEFCON.TAR MATLAB into your working directory : tar xf NEFCON.TAR 2. Start MATLAB 3. Change to the installation directory. 4. Change to the NEFCON directory. 5. Start the STARTUP M-file to initialize NEFCON.

改进遗传算法－郭涛算法做最优化问题很管用,算法的基本思想是 先任意产生n个随机数，然后从n个数里随机选择m个数，再有这m个 数合成一个新数，将这个新数同n个数中间适应值函数值的最差的比较， 如果好的话就取代最差的那个，如果它比最好的还要好的话，则把最好的 也取代。如果比最差的坏，则重新合成一个新数。依次循环下去。 程序的奇妙之处是GA_crossover()函数，产生的新数确实比较好，看看 那位大侠能改进一下，产生比这跟好的数。-improved genetic algorithm- Guo Tao done optimization algorithm is very effective, and the algorithm is the first basic idea arbitrary n generated random number and then the number li n m randomly selected number, and this number m of a new synthesis of the new middle with n number fitness function of the worst by comparison, if a good case to replace the worst, um, if it even than the best, then ruled the best have replaced. If worse than the worst, a de novo synthesis of new. Followed by the cycle continues. The magic of procedures is GA_crossover () function, the new really good to see heroes who can be improved upon, it generated more than a few with a good.