模糊控制逻辑飞机着陆问题算法的vc编程实现

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

一个简单的遗传算法源代码。。。。。代码保证尽可能少，实际上也不必查错-A simple genetic algorithm source code. . . . . Code to ensure that as little as possible, in fact, do not have error checking

遗传算法的一些经典程序收集-genetic algorithem2

一个很好的bp神经网络预测程序实例，有较好的预测精确性-Bp a good example of neural network forecasting process, a better prediction accuracy

ID3决策树算法的C语言实现-ID3 Decision Tree Algorithm in C language implementation

通俗的介绍了RVM与SVM的区别,写的非常通俗易懂-Tutorial of RVM

神经网络中学习矢量量化模型算法的源程序，属于有导师学习！-Neural network model of learning vector quantization algorithm source code, which has instructors to learn!

利用动量梯度下降算法训练BP网络，得到误差显示图，并最终进行预测-Gradient descent algorithm using momentum BP network training, the error display map, and, ultimately, to predict

Matlab implementation of ID3 and NaiveBayes classifier. It also includes example dataset as well.

利用窗体实现堆排序。并能逐一显示堆排序的过程-Using the form to achieve Heap Sort