ppt_d5005c738e83ad6fddcdc6b285810a94

abaqus常用材料参数程序，嵌入abaqus后可以自由调用(general material mode of abaqus)

说明：  使用永磁同步电机在风力发电机组中的机侧控制(PID control of permanent magnet synchronous motor in wind turbine)

说明：  娱乐玩耍的一个锁屏和桌面，自己下载后就可以哦弄简单只要会点就可以弄好(A lock screen and desktop for entertainment and play. After downloading it, you can make it easy. You can make it easy as long as you know how to click on it.)

操作系统用的进一步理解各种算法的性能，并且进一步理解各种页面替换算法的优缺点。 -operating system with the further understanding of algorithms, and to further understanding of pages replacement algorithm are discussed.

说明：  MQ4EAb暴利的Mq4程序测试好用，可实盘测试看数据(MQ4EA china in china)

说明：  随机森林Matlab实现，分类回归重要度打分(Random forest matlab implementation, classification regression importance score)

收集的一些Java 方法用法-源码实例集锦，都是些比较基础类的例子，比如void方法举例、参数的值传递、重载方法、使用方法计算税款、三角函数方法、min、max和abs方法、生成随机字符、自顶向下和自底向上的实现、包的命名习惯、在包中添加类等……

电话簿 添加新客户信息 电话号码必须在4000 到4999999之间>") }while(kehu[i].hao4999999) -telephone directories, add a new customer information telephone number to be between 4000000 to 4

提出了一种自动构造特定领域本体的方法，该方法应用术语抽取和多重聚类技术。在术语抽取阶段，通过术语在专业语料与背景语料中出现概率的对比，采用LLR公式对术语进行评分，取得了更好的抽取效果。在层级关系发现过程中，采用上下文共现信息结合HowNet中词语的语义相似度，进行术语间相似度度量，力求获得术语间最合理的相关状况。同时改进了k-medoids聚类算法，更准确地发现术语的层级关系，进而构造出特定领域的本体。(This paper presents an approach to mining domain-dependent ontologies using term extraction and relationship discovery technology.There are two main innovations in the approach. One is extracting terms using log-likelihood ratio, which is based on the contrastive probabilityofterm occurrence in domain corpus and background corpus. The other is fusing together information from multiple knowledge sources as evidencesfor discovering particular semantic relationships among terms. In the experiment, traditional k-mediods algorithm is improved for multi-levelclustering. The approach to produce an ontology for the domain of computer science is applied and promising results are obtained.)

一些常用的PSO算法程序，包括基本的PSO，线性变化PSO，压缩因子PSO，随机权重PSO等等，可以方便大家学习