人工智能的人工智能门户网站，很难找到，美国..

一个很好用的自适应人工神经网络模型库，包括ADALINE/RBF/多层前向等，另外内含Demo，更易上手-A good use of adaptive artificial neural network model library, including the ADALINE/RBF/Multi-layer and so on, the other containing the Demo, even易上手

基于matlab和DSP的IIR/FIR 滤波器-Matlab and DSP-based IIR/FIR filter

国外的一个A*算法演示，带源代码。作为算法参考非常好-abroad an A* algorithm demonstration, with the source code. As a very good reference algorithm

八数码问题全局择优算法-eight digital algorithm selection of the best overall problem

LMS-Newton自适应算法源码 反正结果刻与LMS算法相比较，显示了较好的性能。-LMS-Newton adaptive algorithm source code in any case engraved with the LMS algorithm results compared, showing a better performance.

fortran 语 言 编 写 基 本 遗 传 算 法 源 程 序 fortran Genetic Algorithms written by FORTRAN

路由选择过程的c算法程序 与DSR 只是简单地使用最短路径不同，EMRPC 使用了更复杂的路由选择机制以实现多径路由和能量均衡。-process of routing algorithm c procedures and DSR is simply to use the shortest path different. EMRPC use of a more complex routing mechanisms to achieve multi-path routing and energy balance.

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.

遗传算法工具箱及应用，包括了美国那个大学遗传工具箱的应用说明，很好用-Genetic algorithm toolbox and its application, including the United States that the University of the genetic toolbox of application notes, very good use

一个非常好的，用于训练样本图像的代码。 一定可以运行。-A very good image for the training sample code. Will be able to run.