齿轮仿真

游戏神秘花园原代码 编程语言:VB -Garden mysterious game programming language source code : VB

流程配置器 纯js代码实现.我也是转载的,-Process Configurator pure js code. I am also reproduced, Hehe

说明：  组合评价法中基于TOPSIS的灰色关联分析法代码 IRT项目分析(Code of grey relation analysis method based on TOPSIS in combination evaluation method IRT)

很经典的游戏，完全重新开发，很适合工作很忙的人来玩，老少皆移，而且游戏有很强的逻辑性！-classic games, the complete re-development, the work is very suitable for busy people to play, young and old were moved, but the game has a strong logic!

在计算机系统中，为了提高主存利用率，往往把辅助存储器（如磁盘）作为主存储器的扩充，使多道运行的作业的全部逻辑地址空间总和可以超出主存的绝对地址空间。-in computer systems, in order to raise the utilization rate of main memory, often auxiliary memory (such as disk) as a main memory expansion. Multi-channel operation so that the operations of all logical address space can exceed the sum of the absolute main memory address space.

它是一个播放器，可以观看多个频道并不用下载其他．-it is a player, a number of channels can be watched with no download.

Java EJB 仿真ATM存取款流程，不但可了解ATM有关知识，还可学习一下Java获取一个本地对象的引用、生成EJB对象、查找一个ATM账户，调用balance()方法，并打印输出小票、存款流程的实现、提取EJB对象的主键、释放老EJB对象的引用，通过ID主键号查找、打印现有的余额、取款逻辑流程等。

说明：  从滞回曲线中提取骨架曲线，程序使用matlab，生成数据导入表格绘图(extract skeleton curve)

XK3190-A9加地磅读数代码.地磅是一个小厂生产的，应项目需要而作，上传此代码以交换另一个地磅的代码(XK3190-A9+ Loadometer Reader )

说明：  聚类分析是数据挖掘中重要的研究内容之一，对聚类准则进行了总结，对五类传统的聚类算法的研究 现状和进展进行了较为全面的总结，就一些新的聚类算法进行了梳理，根据样本归属关系、样本数据预处理、 样本的相似性度量、样本的更新策略、样本的高维性和与其他学科的融合等六个方面对聚类中近 20多个新算 法，如粒度聚类、不确定聚类、量子聚类、核聚类、谱聚类、聚类集成、概念聚类、球壳聚类、仿射聚类、数据流聚 类等，分别进行了详细的概括。(Clustering analysis is one of the important research contents in data mining. The clustering criteria are summarized. The research status and progress of five traditional clustering algorithms are summarized comprehensively. Some new clustering algorithms are used. By combing, according to the sample attribution relationship, sample data preprocessing, sample similarity measure, sample update strategy, sample high-dimensionality and fusion with other disciplines, nearly 20 new algorithms in clustering, Such as granular clustering, uncertain clustering, quantum clustering, nuclear clustering, spectral clustering, clustering integration, concept clustering, spherical shell clustering, affine clustering, data stream clustering, etc., respectively Generalization.)