十折交叉验证方法的matlab code 再模式识别中是一个非常重要的试验方法...

神经网络仿真的基本程序- Nerve network simulation main routine

这是一种利用bp神经网络来解决异或问题的算法.-bp using neural networks to solve the problems or differences algorithm.

专家浅谈人工智能，doc文档-expert on artificial intelligence, doc file

模糊控制与PID控制比较,模糊控制仿真的阶跃响应-fuzzy control

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!

经典的SOM人工神经网络例子源码-classic example ANN FOSS

贝叶斯方法在房地产风险决策中的应用研究.pdf-TheApplicationofBayesMethodtoRealRiskDecisionMaking

自适应遗传算法matlab代码.自适应遗传算法的问题是很容易早熟,好处就是速度快 .不过我将在其中会引入一个早熟判定标志的，并设定一个阈值，如此以来，就可以防止早熟现象了 -Adaptive genetic algorithm Matlab code. Adaptive genetic algorithm is very easy precocious, advantage is faster. However, in which I will be introducing an early sign of determination, and set a threshold, so, you can prevent precocious phenomenon

文本识别是一个基础但却重要的课题，本算法给出其具体的实现过程。-Text identification is a basal but important task.This arithmetic give a material realized process.

FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分。在介绍FCM具体算法之前我们先介绍一些模糊集合的基本知识。-FCM algorithm is a clustering algorithm based on the division of its thinking is that it is making is divided into clusters with the greatest similarity between the object, and different similarity between the smallest cluster. Fuzzy C-means algorithm is an ordinary C-means algorithm, the general C-means algorithm for data delineation is rigid, while the FCM is a soft fuzzy partition. FCM in the introduction prior to the specific algorithm we first introduce some basic knowledge of fuzzy sets.