遗传算法的源程序，里面有基本的遗传算法的各种操作过程，很全面！...

本程序实现通过构造一棵前缀树实现 最大模式频繁项集挖掘算法.应用fp树增长算法实现.-the program by constructing a prefix tree to achieve the greatest model Frequent Mining algorithms. Application fp growth tree algorithm.

A*算法是，最经典的寻路算法，广泛用于游戏人工智能领域。-A* algorithm is the most classic Routing algorithm, widely used in the field of artificial intelligence game.

针对TSP问题，用类神经网路的方法去求解！-against TSP, and the neural network approach to solving!

BP神经网络自适应步长训练算法，采用最小误差法，梯度下降法，自适应调节权值-BP neural network training anaysis, is realized by using error feed back, gradient descent applied updating of synaptic weights

本程序是使用一种遗传算法解决m个工件分配给m架机床的效益最优化问题，-this program is to use a genetic algorithm to solve m m allocated to the workpiece-machine efficiency optimization,

MATLAB版遗传算法解TSP问题-MATLAB version Genetic Algorithm for the Traveling Salesman Problem

此程序为训练RBF网权值的量子粒子群优化算法，供各位参考-this program for training RBF net weights Quantum Particle Swarm Optimization Algorithm for reference

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

数据挖掘算法BIRCH源码 c语言版本。- Data mining algorithm BIRCH source code c language edition.

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