本人调试的大作业（源程序模型+论文），主要包括PID控制、模糊控制、神经网络控制、遗传算法优化神经网络控制（使用了遗传工具箱GAOT）对同一系统所作的仿真比较，

神经网络的运用，比较基础，对初学者比较有用-The use of neural networks, basis of comparison, more useful for beginners

利用神经网络来解决异或问题，代码是VC的-The use of neural networks to solve the XOR problem, the code is the VC" s

模糊控制逻辑飞机着陆问题算法的vc编程实现-Fuzzy logic control of the aircraft landing problem vc Programming Algorithm

A branch-and-bound algorithm for asymmetric TSP

基于MATLAB完成的神经网络源程序 大家-Based on the MATLAB neural network to complete the U.S. source

这是一种利用神经网络来进行人脸识别的算法。-This is a neural network to the face recognition algorithm.

数据挖掘中很不错的源码,一个chc算法的java源程序,有极好的可读性-data mining is a good source, a chc algorithm java source files, has an excellent readability

1、该工具包用于安装Lm和RBF两个神经网络工具包 2、直接运行LmNet.exe或_install.bat即可； 3、完成成功后，请将 binwin32 目前加至系统的 path中。 具体为：我的电脑-->属性-->环境变量-->将“binwin32”加至path路径中。-1, the tool kits for the installation and Lm 2 RBF neural network tool kits 2, or directly running LmNet.exe _install.bat can; Three complete success, I would be grateful if bin win32 increase to the current system which the path. Specifically : my computer-- gt; Attribute-- gt; Environment variables-- gt; "Bin win32" to increase path PATH.

卡内基梅隆大学，采用人工神经网络方法进行人脸训练和识别的c程序源代码，程序中注释比较详细，不多说了。-Carnegie Mellon University, artificial neural network method for training and Face Recognition c source code, procedures Notes in greater detail, not much to say.

3。《遗传算法与工程设计》，[日]玄光男着，程润伟着 科学出版社 2000年第一版 本书着重从计算方法和应用技术的角度对遗传算法作了深入浅出的讨论。书中介绍了遗传算法的基本概念和结构，解决约束优化和组合优化问题的方法，以及遗传算法在生产调度、可靠性设计、交通运输、设备布局等一系列工业工程问题中的应用。本书可作为高等院校的工业工程、管理科学、运等学、计算机科学和人工智能专业的本科生和研究生的教科书。对于系统分析员、运行研究员、管理科学家以及在工业工程与运筹学领域里从事最优化问题研究和应用的专业技术人员，本书也不失为一本内容丰富且实用性较强的参考书。-3. "Genetic Algorithms and Engineering Design", [] to Yuen-man, Guilin-a 520-531 2000 version of the first book to focus on calculation methods and application of a technical point of view for Genetic Algorithm a simple discussion. The book on genetic algorithms, the basic concepts and structures, optimization and constraint solving combinatorial optimization problems. and the genetic algorithm in production scheduling, reliability design, transportation, equipment and layout of a series of industrial engineering problems applications. The book can be used as colleges in the industrial engineering, management science, transport and other science, computer science and artificial intelligence professi