模糊规则库实现

这是一个使用VC++编写的“智能支持决策系统DSS源程序”，学习语言很有参考价值.分配问题/匈牙利算法-It is a preparation of the VC "intelligent decision support system DSS source," learn the language of great reference value. Distribution/Hungary algorithm

经典的SOM人工神经网络例子源码，经测试可用，可作入门学习用-SOM classic examples of artificial neural network source code

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

遗传算法源程序evolution calculates the law origin code ,C-C++,人工智能/AI-NN-PR -genetic algorithm calculates the source evolution law orig in code, C-C, AI/AI- NN-PR

bell 实验室周期性关联规则挖掘算法。-Cycle Association

真正可以用的匈牙利算法 我校赛的时候用过 很不错 不过写的不够简洁-Really can use the Hungarian algorithm school tournament when I used is pretty good but not enough to write a concise

--- -一个介绍支持向量机的文档。 认真读一读，会有收获的。-------- introduced a Support Vector Machine documents. Seriously read, there will be rewarding.

神 经 网 络 资 料-neural network data

一个VC编写的神经网络算法程序，对学智能算法的朋友很有用。-a VC prepared by the neural network algorithm procedures, intelligent algorithm friends useful.

一个非常酷的机器人的源程序，你可以自己制作你喜欢的机器人并保存起来，很有意思哦(137KB)-A very cool robot of the source, you can own your favorite robot and save up, oh, very interesting (137KB)