cadense capure cis help

Pipe类 Pipe类 Pipe类-Pipe-type Pipe type Pipe type Pipe type Pipe type

ascii->unicode->asc

应用于自动化测试行业，对从事相同行业的人有极大的帮助。-Applied to automated testing industry, engaged in the same industry are of great help.

提取方程系数，具有一定的通用性，有不足指出，请高手指出。-Extraction equation coefficient, has a certain versatility, there are less than that the requested expert pointed out.

在线经销商回单管理系统 -Back to online dealer management system, single-line dealers to a single management system

excel交换机配置，用csa工具成生的配置文件，其实没有什么用处-excel configuration of switches, using tools into csa Health configuration file, and is what is the use of

log4net是一个功能著名的开源日志记录组件。利用log4net可以方便地将日志信息记录到文件、控制台、Windows事件日志和数据库（包括MS SQL Server, Access, Oracle9i,Oracle8i,DB2,SQLite）中。并且我们还可以记载控制要记载的日志级别，可以记载的日志类别包括：FATAL（致命错误）、ERROR（一般错误）、WARN（警告）、INFO（一般信息）、DEBUG（调试信息）。要想获取最新版本的log4net组件库，可以到官方网站http://logging.apache.org/log4net/下载。

Pix模拟器，别的不说了，想学安全的来下 吧-Pix Simulator, to say the least, and I wanted to learn to come under the safety bar

快速排序的递归解演示，用20个字符串代表20个数，显示每次分组结果，延时10000。如果在你的机子上太快，可以加长延时。-rapid sequencing of recursive solution demonstrations, with 20 representatives of 20 string number, the results show that each packet, Delay 10000. If your machine on too fast, it could be Long Time Delay.

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