ThinkPHP3.2.3完整版

说明：  萤火商城商业运营版完整包小程序v1.1.7二次开发（独立版）(Firefly mall commercial operation version complete package applet v1.1.7 secondary development (independent version))

功能： （1）客户端浏览服务器默认目录下的所有文件。 （2）客户端上传文件到服务器的默认目录下。 （3）客户端可以下载服务器默认目录下任何一个文件。(Functions: (1) The client browses all files in the default directory of the server. (2) The client uploads files to the default directory of the server. (3) The client can download any file in the default directory of the server.)

此程序是一个dos下日历.-This program is a calendar under dos.

说明：  进化亲和力传播（EAP）是一种进化聚类方法，它试图对在多个时间点收集的数据进行聚类，同时考虑到潜在的动态并保持时间平滑性。 EAP的主要独特功能是： EAP自动确定每个时间步长的群集数。 通过依赖因素图中引入的某些共识节点，EAP可以准确，高效地跟踪整个集群。 EAP通过在不同时间步长代表数据的节点之间传递消息来标识全局群集解决方案。 EAP输出为每个时间点的每个数据点提供群集成员身份。 EAP框架允许在不同的时间步长具有不同数量的群集，以及数据点的插入和删除。 用法(EAP automatically determines the number of clusters at each time step. By relying on certain consensus nodes introduced in the factor graph, EAP accurately and effciently tracks clusters across time. EAP identifies the global clustering solution by passing messages between the nodes representing data at different time steps. The EAP output provides the cluster membership for each data point at each time instance. The EAP framework allows having different numbers of clusters at different time steps as well as data point insertions and deletio)

画图选定,支持直线,矩形,正方形,园等画图,支持单个或多个对象的选定,拖动等,()

VB网络流量监视器英文版附代码,有需要的就下载吧。(VB network flow monitor English version attached to the code, there is need to download it.)

说明：  jQuery拖动吸附栅格内对齐代码是一款div块拖动固定的网格布局代码。(The alignment code in jQuery drag adsorption grid is a div block drag fixed grid layout code.)

基于28035的EEPROM，IIC接口，源代码(Based on the 28035 EEPROM, IIC interface, the source code)

说明：  构造最小生成树的常用方法是Prim算法与Kruskal算法，二者都是基于贪心算法设计侧略。(Construction of the commonly used minimum spanning tree algorithm is Prim and Kruskal algorithms, both are based on the design side of a little greedy algorithm.)

说明：  MTCNN，Multi-task convolutional neural network（多任务卷积神经网络），将人脸区域检测与人脸关键点检测放在了一起，它的主题框架类似于cascade。总体可分为P-Net、R-Net、和O-Net三层网络结构。(MTCNN, Multi-task convolutional neural network (multi-task convolutional neural network), puts face region detection and key point detection together, and its subject framework is similar to cascade. Overall, it can be divided into three layers: P-Net, R-Net and O-Net.)