一个实用的单片机试验程序，大家分享分享，程序源码完整

3Dmax8，是最新的三维建模软件，其功能强大，方便使用，极力推荐-3Dmax8, is the latest three-dimensional modeling software, and its powerful, user-friendly, highly recommended

Navision ERP 极品补丁，控制ERP在线人数根据不同的条件弥补Navision ERP 的不足。-Explorer patch, control the number of online ERP under different conditions compensate for the shortcomings of ERP Explorer.

自己做的双色球手选,机选,功能程序.在windows xp 上测试通过可以正常使用-Loans hand to do their own selection, machine selection, functional procedures. In windows xp can be tested through the normal use

Verilog实现的LCD控制器，在实现了LCD接口以及相关的控制时序。-Verilog implementation LCD controller

Datasheet IC SPHE8202S in picture

稀疏矩阵计算器，以带行逻辑链接信息的三元组表示稀疏矩阵，实现矩阵相加相减相乘的运算。-Sparse Matrix Calculator

这是一系列实现类的方法，很好，它综合了所有的实现方法-This is the realization of a series of class methods, very good, it integrates all the way to achieve

此程序是应朋友的 老婆单位的要求写的，是用于本单位内工程资料的管理,关于数据操作是用的数据库控件，不过里面也有隐藏的非数据控件的操作方式-this procedure is a friend of a friend"s wife to write the requirements, the unit is used within the engineering data management, data on the operation of the database component, but there are also hidden-data control mode of operation

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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