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repast city模型，在repast s平台搭建预测模型(repast city model in repast S)

DE算法作为一种新的进化算法被广泛关注，它的改进算法层出不穷，但最经典的莫过于JADE(DE algorithm has been widely concerned as a new evolutionary algorithm. Its improved algorithms emerge in an endless stream, but the most classic is JADE.)

eclipse开发环境配置教程,支持tomcat_Maven_jetty_JBoss(eclipse development environment configuration tutorial support tomcat_Maven_jetty_JBoss)

运用java对系泊系统的参数进行计算，建立算法模型。(The parameters of mooring system are calculated by Java, and the algorithm model is established.)

工程务实系列：如何自动化建设部署和监控Java应用程序(Pragmatic Project Automation How to Build Deploy and Monitor Java Applications )

里面有几个不错的学习资源链接，包括OC、cocos、java等，希望有帮助。(There are several good links to learning resources, including OC, cocos, Java, hope that helps.)

说明：  初学java的可以借鉴，学java的可以借鉴学java的可以借鉴(Lessons for beginners of Java)

说明：  专门为kettle这款优秀的ETL工具开发的web端管理工具。 kettle作为非常优秀的开源ETL工具得到了非常广泛的使用，一般的使用的都是使用客户端操作管理，但问题是当投入生产环境使用时，动辄上百或几百个job需要管理，这时在使用客户端管理已经很难完成了。我所知道的解决方案有用命令行的调用的，操作麻烦，总之还是很难用啦，还有就是开发web端管理工具，kettle自带了一个web端管理工具，界面极其简陋不说，还很难用，基本无法投入生产环境使用，其他没留意到还有没有较好对众多job进行管理的工具。(A web-side management tool specially developed for kettle, an excellent ETL tool. Kettle as a very excellent open source ETL tool has been widely used, the general use is the use of client operation management, but the problem is that when used in production environment, hundreds or hundreds of jobs need to be managed, when the use of client management has been very difficult to complete. The solution I know has command-line calls, troublesome operation, in short, it is difficult to use, but also the development of web-side management tools, kettle has a web-side management tool, the interface is extremely simple, not to mention, it is also difficult to use, basically can not be put into production environment, other did not notice there is no better. Tools for managing many jobs.)

用JAVA写的相册。里面包含源代码。。。。。。(Write the album with JAVA. Which contains the source code. . . . . .)

数据挖掘 关联规则 FP增长算法 简单 易懂 适合初级人员(DataMining DataMining DataMining DataMining DataMining)