一个小小的人工智算法

人工智能经典问题TSP问题的C语言实现，内含源程序和调试过程生成的文件-AI classic TSP"s C language, and includes source code debugging process produces files

这是cmu大学的一个研究小组编写的神经网络中反向传播算法的源代码，很有参考价值。-This is a university research group to prepare the neural network back-propagation algorithm source code of great reference value.

基于C语言人工免疫源程序,包括二进制编码的简单遗传算法源程序，二进制编码的简单克隆选择算法源程序-Artificial Immune-based C language source code, including a simple binary-coded genetic algorithm source code, binary-coded clonal selection algorithm simple source

基于遗传算法改进的稀疏分解算法，已调试过了，写论文是编写的-Based on genetic algorithm to improve the sparse decomposition algorithm, has been testing and writing papers are prepared

用vc实现Apriori算法的全部功能．请大家尽情心使用！-the algorithm can be used vc Apriori algorithm to achieve the full. Please rest assured use! -Apriori algorithm by vc realize the full functionality. Please use your heart!-the algorithm can be used vc Apriori algorithm to achieve the full. Please rest assured use!

人工智能AI经典入门书，很难找的噢，给喜欢的朋友-classical AI Artificial Intelligence portal, it is very difficult to find the, uh, likes to friends

这是一个的遗传算法程序,开发平台是vc7.0-This is a genetic algorithm process, the development platform is vc7.0

利用matlab编写的神经网络算法，经过测试速度快效果好。-Prepared using matlab neural network algorithm, tested the effect of a good speed.

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.

dv-hop的定位算法，已知网络中几个锚节点就可以计算出网络中其他点的坐标，但这种算法有时由于网络密度的稀疏，可能误差会有一些-dv-hop positioning algorithm, known to the network a few anchor nodes on the network can calculate the coordinates of other points, but this algorithm is sometimes due to the sparse network density may be some errors