Particle Swarm Optimization (PSO) for the TSP

ACO,C program ACO,C program

用的VC6编的可以识别联机数字，联机英文，及联机汉字-the VC6 series of the figures can be identified on-line, on-line English, and Chinese characters on-line

在vc环境下的指纹识别与处理，我也是从别处得到的，主要看看算法结构。-vc environment in the fingerprint identification and handling, I also received from elsewhere, mainly look at the algorithm.

学习遗传算法的标准入门程序,这是我当初入门的时候用的。-Perfect code to learn genetic algorithm

Libsvm - MATLAB version-Libsvm- MATLAB version

混沌识别，混沌特征指数的计算以及混沌预测。-Chaotic identification, chaotic characteristics of index calculation and prediction of chaos.

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

各种神经网络C源代码。包括： CPN、BPN、ART1、ART2。-various neural network C source code. Include : CPN, 7.82, ART1, ART2.

简单规则演化出来的极似苍蝇的一个人工生命群体floy-simple rules of evolution as same flies an artificial life groups floy

高手学习人工智能心得体会。想学习人工智能的可以来-master learning artificial intelligence experiences. Want to study artificial intelligence can s