The code on this diskette has been organized by chapter. Each subdirectory cont...

关于多目标优化的代码，这个代码是一个框架，大家可以修改一下-Multi-objective optimization on the code, the code is a framework, we can make some corrections

对支持向量机进行训练的一种改进的遗传算法。-On support vector machine for training an improved genetic algorithm.

本代码用基于steve语言的breve软件编写的，此软件是一种3D人工智能的环境模拟器，可以用来构建AGENT-BASED SYSTEM和模拟机器人行为。本代码实现功能如下：机器人服务模拟。自动取得饮料，递送给客人，客人喝完后，另一种清理机器人处理瓶子并运送垃圾堆。主要为了证明机器人运动中的一种Deliberative设计结构。软件下载地址：http://www.spiderland.org/breve/download.php 打开我上传的文件后，点运行就可以看效果。-The code-based software steve language breve prepared, the artificial intelligence software is a 3D environment simulator can be used to build the AGENT-BASED SYSTEM and robot behavior simulation. Realize this function code is as follows: service robot simulation. Automatically beverages, delivered to the guests, the guests after the finish, another robot cleaning up the bottle and the delivery of garbage treatment. Mainly in order to prove that the movement of a robot design structure Deliberative. Software Download: http://www.spiderland.org/breve/download.php open my uploaded file, you can look at the effect of running.

k-means(欧氏距离)聚类算法是最基本的聚类算法，是理解和应用聚类算法的基础，通过k-means(欧氏距离)聚类算法我们才可以初步了解数据挖掘的原理。-k-means (Euclidean distance) clustering algorithm is the most basic clustering algorithm, is understanding and the basis for the application of clustering algorithm, through the k-means (Euclidean distance) clustering algorithm we are able to a preliminary understanding of the principles of data mining .

Multi-objective evolutionary algorithm - an application-Multi-objective evolutionary algorithm- an application

neural network limulated in C

解非线性规划模型的遗传算法，采用visual c++语言编写，结构清晰，明了易懂，注释完整-Genetic Algorithm for nonlinear programming

这是用Fortran实现的bp算法程序，供大家自学参-This is achieved using Fortran bp algorithm, for your self-Participation

图像检测模板匹配的Visual C++代码-Image Detection template matching Visual C code

手写汉字识别 应用SVM和神经网络进行识别,可自行训练-Handwritten Chinese Character Recognition Application of SVM and neural networks to identify their own training