我总结的泰文的排版规则，对要做泰文排版的，应该很有帮助。...

采用模糊RBF神经网络对柴油机油门执行器位置进行控制，介绍了电液调速执行器的动态特性，设计了电液调速控制回路，本文将一种基于模糊RBF神经网络的PID控制器应用于柴油机调速控制当中，详细说明了模糊RBF神经网络控制器的设计过程，它结合了传统PID以及神经网络和模糊控制的优点，可以在线调整得到一组最优的PID控制参数。仿真结果表明该系统比传统模糊控制的响应速度快、超调小，且适应性强，具有推广价值。-fuzzy RBFNN right Diesel throttle actuator position control, on the speed electro-hydraulic actuator and the dynamic characteristics of the design of electro-hydraulic speed control circuit, This paper will be based on fuzzy RBFNN PID controller for speed control Diesel, a detailed description of fuzzy RBF neural network controller design process, It combines the traditional PID and neural network and fuzzy control advantages online can be an adjustment Optimal Group of PID control parameters. Simulation results show that the system than the traditional fuzzy control of the fast response, small overshoot, and adaptability, is worth promoting.

ROM using file.suite in design a simple CPU

sm1628是一种带键盘接口的LED驱动控制专用IC，带有内部MCU-sm1628 is a keyboard interface with LED-driven control of a dedicated IC, an internal MCU

简单介绍128条形码编码规则。PDF文档。-Introduce a simple bar code 128 encoding rules. PDF document.

学习EXCEL2003在数据统计方面的应用,这是个不错的选择,这里面有丰富的函数,满足你处理数据的需求.-EXCEL2003 study in the application of statistical data, this is a good choice, there is a wealth of function to meet your data processing needs.

可以将个人编程资料和心得进行加密存储，Windows桌面管理，搜索机器上所有的自启动程序并任意增删，优化Windows的INTERNET参数.-programming can be personal information and experiences encrypted storage, Windows desktop management, search all the machines since the commencement of the proceedings and any additions, optimizing Windows INTERNET parameters.

一篇关于支持容错硬实时系统的固定优先级分配算法的论文-support for a hard real-time fault-tolerant system of fixed priority allocation algorithm papers

零耗时低频宽脉冲软PWM信号控制C51演示程序-zero time-consuming low-bandwidth pulses soft PWM control signal C51 Demonstration Program

用java写的一个记事本-Using java to write a Notepad

摘要: 这个程序用下拉菜单条的方式可变选取参数观测李萨如图形.用MATLAB编写-Abstract : This procedure using the drop-down menu, select the variable parameters observation Lissajous figures. using MATLAB