gongfenqi

说明：  计算机操作系统原理与实现中的重要实验，关于哲学家进餐的问题(computer operating system Theory and the important experiments on the dining philosophers problem)

一个很不错的仿真设计方案，强烈推荐看看！(A very good simulation of the design program, strongly recommended to see!)

在Microsoft Visual C++软件环境下，用C++ 语言实现整个仿真。将整个产生系统分为C/A码产生，信号产生，量化三个模块，经过编写和调制实现产生的基本功能，即输入导航电文及控制数据，例如 选取卫星信号，多 普勒频移，采样周期。最后可以得到加入服从高斯分布的噪声信号的数字离散中频信号。 (We use the C++ language to archive the simulation in the Microsoft Visual C++ circumstance. The entire generating system is divided into three parts,including C/A Code, Signal Generating and Quantizer. After writing codes and checking and confirming, I archive the basic functions. If you input the guiding codes and controldata like satellite selecting signal, Doppler frequency movement, sampling period, at last you can get the digital middle frequency signals with gauss distributing noise)

sentinel dongle key files..

S3C2416开发板原理图，包括最小系统与底板原理图，(S3C2416 development board schematics, including the minimum system backplane schematic)

说明：  电力电子装置故障录波器设计Design of fault recorder power electronic devices(Design of fault recorder power electronic devices)

题目1 FTP客户端与服务器端设计 题目2 邮件服务系统设计 题目3 HTTP通信系统设计(Title 1 FTP client and server-side design Title 2 mail service system design Title 3 HTTP communication system design)

机载数据总线设计training幻灯片 详尽介绍AFDX 帧数据格式等(On-board data bus design training slides detailed descriptions of the AFDX frame data formats)

海力士 DDR2 操作手册，时序说明，很强大，适合初学者(ddr2 Operation Manual)

基于PSO的BP训练算法论文：在BP训练算法中，关于变权值、学习速率、步长的问题已被广泛地研究，几种基于启发式改进的技术也表明具有改善训练时间以及避免陷入局部最小的明显效果。这里BP训练过程由基于PSO同时优化log—Sigmoid函数与网络权值的新算 法(PSO。GainBP)实现。实验结果表明，PSO—GainBP比传统基于PSO的BP算法在网络训练方面具有更好的性能。(PSO based on the BP training algorithm Papers: In the BP training algorithm, on the right to change the value of learning rate, step length of the question has been widely studied, several heuristics based on improved technology also shows that to improve the training time and avoid falling into local the smallest tangible results. Here BP training process at the same time by the PSO-based optimization of log-Sigmoid function and the network weights of the new algorithm (PSO. GainBP) to achieve. The experimental results show that, PSO-GainBP than the traditional PSO based on the BP algorithm in network training has a better performance.)