svc_acsystem

自学LinePipe 入门例子（NER,包含字典，正则表达式）(Self learning LinePipe introductory example (NER, including dictionary, regular expression))

使用空间光调制器调制高斯光场的matlab程序(Modulation of Gauss light field using spatial light modulator)

说明：  用uvm验证方法学验证异步fifo，文件包括异步FIFOrtl代码和uvm组件(Verification of asynchronous FIFO with UVM)

有关复杂网络研究的一篇博士论文，结合具体的复杂网络对象实例，系统研究复杂网络的理论和实践，并且研究复杂网络原理在Ad hoc计算机网络中的应用。选择了汉语词组网络作为实际复杂网络研究对象。提出了一种推广的祸合网络理论模型。-Complex network-related research for a Ph D thesis, combined with the specific object instance of the complex network, complex network system of the theory and practice, and study the principle of complex networks in Ad hoc computer network applications. Chose the Chinese phrase networks as the actual complex network study. A promotion of the coupling model of network theory.

电子芯片sn75453b详细说明 的中文资料 (Chinese information detailed electronic chip sn75453b)

说明：  最好用的源码 DLL:=TDXDLL1(1,H,L,5); HIB:=TDXDLL1(2,DLL,H,L); LOB:=TDXDLL1(3,DLL,H,L); SIG:=TDXDLL1(4,DLL,H,L); BSP:=TDXDLL1(5,DLL,H,L); SLP:=TDXDLL1(8,DLL,H,L); IF(HIB,HIB,DRAWNULL), COLORYELLOW; IF(LOB,LOB,DRAWNULL), COLORYELLOW; STICKLINE(SIG,LOB,HIB,0,0), COLORYELLOW; DRAWLINE(DLL=-1,L,DLL=+1,H,0), COLORYELLOW; DRAWLINE(DLL=+1,H,DLL=-1,L,0), COLORYELLOW; DRAWNUMBER(DLL=+1,H,SLP), COLORYELLOW, DRAWABOVE; DRAWNUMBER(DLL=-1,L,SLP), COLORYELLOW; BUY(BSP=3,LOW); SELL(BSP=12,HIGH); BUYSHORT(BSP=2,LOW); SELLSHORT(BSP=13,HIGH);(cmake --build . --config Debug)

说明：  聚类分析是数据挖掘的主流技术之一，它在人工智能领域有着广泛应用。簇的定义和聚类方法的双重多样性致使数据科学发展过程中聚类算法拥有“数量庞大”“类型多样”等特点。一般而言，能将无标签的样本点聚为若干个簇的算法都可以称为聚类算法，人们常根据这些算法的基本思想或基本假设将其分为几个常见的类型：分割聚类法、层次聚类法、密度聚类法、网格聚类法、模型聚类法等。(Cluster analysis is one of the major techniques in data mining, and it has been widely applied in the field of artificial intelligence. With the diversity in both the definition of cluster and the strategy of clustering, lots of clustering algorithms appeared in the literature. In general, an algorithm which can group unlabeled data into several clusters can be called as clustering algorithm. Based on the difference in basic clustering ideas or basic clustering assumptions, the clustering algorithms can be divided into several branches: partitioning methods, hierarchical methods, density-based methods, grid-based methods, model-based methods, etc.)

Fortran Optimisation sqp

COPULA实际例子最近写论文要用到R软件，但是对r软件零基础.(COPULA practical example recently used R software to write papers, but R software zero basis.)

说明：  STC51单片机使用两路PCA模拟一个全双工串口(STC51 MCU uses two PCA to simulate a full duplex serial port)