伯克利大学量子计算课程讲义（cs191）berkeley university quantum computing course lecture notes...

sabpyuanma 资料 资料-sabpyuanma information information information

对徐雷鸣那本书第七章，添加宏泛协议mflood的测试脚本，已经测试过，完全可行-Xu Lei of Chapter VII of the book, add the macro pan agreement mflood test scripts have been tested, entirely feasible

DC motor control with atmega8 for auto door

递归分析器，完成递归分析器的各个功能，很好用-Recursive parser, analyzer finish all recursive functions, a very good use

这是一个很有趣的小程序，实现了小老鼠钻迷宫的数学问题-This is a very interesting little program to achieve a maze of small rodents drilling mathematical problem

示范如何编写豪华的游戏（程序）界面，这里演示的是Tic Tac toe游戏 -demonstrations on how to prepare luxury of the game (procedures) interface, the presentation here is Tic Tac toe game

数据结构（C语言版）清华大学出版社 第三章课件-Data structure (C language version), Tsinghua University Press, Chapter III of the courseware

一个复数运算的类-a complex computing category

练习利用Windows时钟编程-exercises using Windows clock programming

针对实际对象数学模型不明确而难以控制的问题,采用人工免疫网络的离散模 型与学习算法,将人工免疫系统与神经网络结构的优势相结合,提出了一种基于人工免疫 网络的模式识别算法,构造了对象识别的人工免疫网络模型.该算法综合了网络节点的定 位与参数调整以及对基函数的平滑因子实施调谐等功能,有效地解决了径向基函数 (RBF)神经网络模式识别的两个阶段任务,使模式识别的精度有较大的改进.采用两个不 同对象函数进行的仿真试验表明,该算法具有快速收敛性与较高的准确性. -Mathematical model for the actual object is not clear and difficult to control the problem, the use of artificial immune network model and the discrete learning algorithm, artificial immune systems and neural networks combine the advantages of structure, an artificial immune network based on pattern recognition algorithms, Construction of the object identified by artificial immune network model. the algorithm is a combination of network nodes to adjust the position and parameters as well as the basis function implementation of the smoothing factor, tuning and other functions, to effectively solve the Radial Basis Function (RBF) neural network pattern recognition of two phase of the task, so that the accuracy of pattern recognition have greater impro