资源列表
rtmp+nginx
- 视频流转换rtmp转rtsp,可用于相关摄像头的视频流转换(Interpreting Useful Software)
nonlagdot non repaint
- a non lagging indicator for binary options trading signal on real time
CNN_P300-master
- cnn网络构建神经网络训练脑机接口P300模型(Construction of Brain-Computer Interface P300 Model for Neural Network Training Based on CNN Network)
CalculateSPI
- 这个代码可以利用气象站点的降水量计算标准降水指数，用来指导干旱，气候方面的科学研究(This code can be used to calculate the standard precipitation index by using the precipitation of meteorological stations, which can be used to guide scientific research on drought and climate.)
Three.js月亮和云层动画特效
- Three.js月亮和云层动画特效是一款three.js基于canvas绘制夜空星星月亮云层动画场景特效。(Three.js Moon and Cloud animation special effects is a 3.js based on canvas to draw night stars, moon and cloud animation scene special effects.)
jQuery创建项目计划事项代码
- jQuery创建项目计划事项代码是一款简单的发布创建计划事项，支持删除或添加详情内容功能。(JQuery Create Project Planning Items Code is a simple release creation plan, which supports deleting or adding details.)
图章制作软件
- 在线自动生成图章,超级好用,如果有设备可以直接刻章(Automatic Generation of Seals)
基于遗传算法优化BP神经网络的非线性预测
- 针对BP神经网络的初始权值和阈值是随机选取的弊端，采用遗传算法寻优BP的初始权值和阈值，然后进行BP训练和测试。遗传算法包括编码 选择 交叉 和变异等操作(Aiming at the disadvantage that the initial weights and thresholds of BP neural network are randomly selected, genetic algorithm is used to optimize the initial weights and
7
- 设计两台单片机系统间的串行通信 （1）甲方P1口连接8个LED灯； （2）乙方经串行通信输出数据至甲方，甲方根据所接收的数据，在8个LED灯实现流水灯显示； （3）需采用串行口方式1及中断方式进行数据的发送和接收。(Design of Serial Communication between Two Single Chip Microcomputer Systems (1) Party A's P1 port is connected with 8 LED lights; (2) Pa
基于极限学习机ELM的数据分类
- 针对数据分类问题，提出了基于极限学习机的分类方法，将数据样本分为训练样本和测试样本，并采用准确率指标进行评价。(Aiming at the problem of data classification, a classification method based on extreme learning machine is proposed. The data samples are divided into training samples and test samples, and the
新版在线vip视频解析
- vip视频在线解析,乐视VIP电影,腾迅VIP电影,爱奇艺VIP电影,优酷VIP视频,免费在线视频网站,海量正版高清视频在线免费观看。(vipxiabanshipinjiangxi)
vue-adm
- 基于vue+element的电商后台管理系统，完整实现了整个流程。 该项目为前后端分离项目，搭建步骤具体参考后端项目传送门。(Based on Vue element, the whole process is realized. This project is a front-end and back-end separation project. It builds a portal with specific reference to the back-end project.)