基于模糊神经网络的预测算法

说明：  以一个包含拔号信号的数据文件为输入，其输出就是电话号码(Take a data file containing the dial signal as the input, and the output is the telephone number)

说明：  Lessgo 是一款 Go 语言编写的简单、稳定、高效、灵活的 web 完全开发框架。它的项目组织形式经过精心设计，实现前后端分离、系统与业务分离，完美兼容MVC与MVVC等多种开发模式，非常利于企业级应用与API接口的开发。当然，最值得关注的是它突破性地支持了运行时路由重建，开发者可在Admin后台轻松实现启用/禁用模块与操作，添加/移除中间件等功能！同时，它推荐以HandlerFunc与MiddlewareFunc为基础的函数式编程，也令开发变得更加灵活富有趣味性。 此外它也博采众长，核心架构改写自echo v2，数据库内置为xorm，模板引擎内置为pongo2，其他某些功能模块改写自beego以及其他优秀开源项目。(Lessgo is a simple, stable, efficient and flexible web development framework written in Go language. Its project organization form is carefully designed to achieve front-end and back-end separation, system and business separation, perfect compatibility with MVC and MVVC and other development modes, which is very conducive to the development of enterprise application and API interface. Of course, the most notable thing is its breakthrough support for runtime routing reconstruction. Developers can easily enable/disable modules and operations, add/remove middleware and other functions in the Admin background. At the same time, it recommends functional programming based on Handler Func and Middleware Func, which makes development more flexible and interesting.)

说明：  是表示添加噪声污染一幅图像,叫做噪声污染图像函数(Is to add noise pollution to an image, called noise pollution image function)

VC++获取DNS 子网掩码 IP地址以及路由设置等网络配置参数，另外还可获取主机名、工作域、网卡MAC地址、默认网关以及是否使用IP路由等，编写网络相关软件时，这是一些必备的网络参数。程序运行截图如图所示。

dkink 的 俄罗斯方块，非常简洁，很适合新手学习。-Russian dkink box, very simple, very suitable for novices to learn.

用C++ BUILDER实现的一个类似推箱子的益智游戏。为了简化，采用GDI实现图形显示。适合初学者研究-C BUILDER achieve a similar Tuixiangzi of educational games. To simplify using GDI achieved graphics. Research for beginners

dreamweaver插件1-Dreamweaver plug-in a

说明：  通过编程实现模糊神经控制，在运行后或绘制出误差图、隶属函数变化图等(The fuzzy neural control is realized by programming, and the error diagram and membership function change diagram are drawn after operation)

说明：  关于二维杆系受集中载荷的静力求解有限单元法代码(Finite element code for static solution of two-dimensional bar system under concentrated load)

Explain FHSS and DSSS with Examples