The BP algorithm is a very good program, it is a named bp.m file would be helpfu...

用于求解TSP问题的c++程序，已经试运行过-BasicAntColon AlgorithmC++forTSP

用人工智能实现的足球机器人人仿真比赛的程序-using artificial intelligence robot soccer simulation games who procedures

提出了基于最小化估计的泛化误差界非优化估计方法。目前大多数的核参数选择方法都是通过极小化了来得到最优参数值，但是求解优化问题的计算代价相当的大，并且不能很好地体现数据的分布特征。本文采用非优化技术，通过极小化泛化误差来优化核及相关参数，由于直接计算最小半径和最大间隔，避免了对优化问题的直接求解，因此可以很好地降低计算代价。并且该方法直接从样本出发，可以很好地体现数据的分布特征，不管数据分布是否均匀都可以适用。给出了基于凸包估计的SVM核选择的模型及实现算法。 -Proposed based on minimizing the estimated generalization error bound of the non-optimal estimation method. Most of the nuclear parameter selection methods are to get the best by minimizing the parameter values, but the computational cost for solving optimization problems is quite large, and can not properly reflect the distribution characteristics of the data. In this paper, the non-optimization technology, by minimizing the generalization error to optimize the nuclear and related parameters, due to the direct calculation of the minimum radius and maximum interval, avoiding the direct solution of the optimization problem, it can very well reduce the computation cost. And that the method directly from the sample one can well reflect the distribution chara

用蚁群算法求解TSP（旅行商）问题，按照TSP.m中要求的格式输入程序参数即可运行！-Using Ant Colony Algorithm for TSP (traveling salesman) problems, in accordance with the format requested TSP.m input process parameters to run!

多目标跟踪 (三维)-算法matlab编制-multi-target tracking (3D)- preparation algorithm Matlab

用粒子群方法解决TSP（旅行商）问题，按照TSP1.m中的格式输入程序参数即可-Using Particle Swarm solution to TSP (traveling salesman) problems, in accordance with the format in TSP1.m parameter input program

连轧过程控制仿真程序，其中包括用自适应遗传算法进行优化的代码-rolling process control simulation programs, including adaptive genetic algorithm optimized code

用Fast BP实现复杂的函数逼近,对初学者有一定的帮助,是在BP的基础上增加了R.-Fast BP achieved with a complex function approximation, there is some help for beginners, is based on the BP increase in R.

一个模糊的YBP训练程序，初学者应该从入门开始学习

BP神经网络解决异或问题.模式识别常见问题解决-BP neural network to solve XOR problem. Pattern Recognition common problem-solving