用matlab实现贝叶斯网络的学习、推理。

高性能交流伺服系统及其复合控制策略研究，浙江大学博士论文。 关键词:交流伺服系统，矢量控制，直接转矩控制，复合控制，PID控制，GA，IGA，模糊控制，切换控制，协调控制-High Performance AC Servo System and its Advanced Mixed Practical Control Strategy.Thesis of Zhejiang University. Keywords:AC servo system, Vector Control, Direct Torque Control,Combined Control, PID Control, GA, IGA, Fuzzy Control, Coordinating Control.

这个主要介绍会计中软件的应用和会计电算法，里面含有一些讲稿和题目-This focuses on the application of accounting and accounting software, power algorithm, which contains a number of lectures and topics

本程序是进行路径的寻找的程序，是一个朋友写的，特此说明。可以进行路径寻优处理。运行时需要导入的图片在代码文件夹中。-this program is the path to find procedures, a friend wrote, it is noted. Can handle path optimization. Need to run into the picture in the code folder.

GEP（基因表达式程序设计）是一种新的演化算法，该文件是基本的GEP编程，采用功能的封装格式，测试通过，能够方便的使用。-GEP (Gene Expression Program Design) is a new evolutionary algorithm, which is the basic GEP programming, functional package format, through testing, to facilitate their use.

有关神经网络的计算-the neural network computing

很好的边缘检测源代码，使用vc++6.0编写，主要用于医学图像的边缘检测-good source edge detection, the use of vc 6.0 preparation, mainly for Medical Image Edge Detection

求图中的祖先节点(不含父亲节点) 内含说明，学图论或人工智能的朋友会用到的。希望有利于理解书上的论述。-plans for their ancestral nodes (excluding the father nodes) intron show that studying graph theory in artificial intelligence or a friend will use the. Hope to understand book expositions.

MFD－多变量系统频域设计工具-MFD- multivariable frequency-domain system design tools

基于遗传算法的排课系统，可以实现多种课程的排列-based on genetic algorithm Course Scheduling System, can achieve a wide variety of courses with the

TSP问题是组合优化中的经典问题。其解决方法有局部优化方法和一些启发式算法,局部搜索方法充分考虑问题 的邻域结构,遗传算法有很好的全局搜索能力,memetic算法把遗传算法和局部优化算法相结合,试验结果证明,能很好地解 决TSP问题。-TSP problem is a classic combinatorial optimization problem. Its solution has a number of local optimization methods and heuristic algorithms, local search methods take full account of the issue of neighborhood structure, genetic algorithm has good ability of global search, memetic algorithm for the genetic algorithm and local optimization algorithm combining test results proved that well positioned to solve the TSP problem.