cebook保证可用机器专用的英文版

FPGA-Xilinx 官方下载线，英文。入门必备！-FPGA-Xilinx Download the official line, in English. Entry required!

支撑向量机训练算法研究，很好的参考资料，有兴趣的可以下载-Support vector machine training algorithm research, a good reference, are interested in can be downloaded

开发环境我们采用ADS1.2 集成环境，请先安装ADS1.2。如何使用ADS1.2 请参考光盘内的 手册。ARM 开发环境和51 单片几很不一样。熟悉51 的都知道用仿真器来调试，但arm 却 不一样，它通过JTAG 接口仿真。因此这里先介绍JTAG 仿真的概念。-Development environment we use ADS1.2 integrated environment, install ADS1.2. How to use the CD-ROM ADS1.2 please refer to the manual. ARM development environment and a few very different 51-chip. 51 all know that familiar with emulators to debug, but not the same arm through JTAG interface simulation. So here first introduce the concept of JTAG emulation.

这是一个高斯消元发解方程的c语言实现。对于接多元方程非常的方便-This is a Gaussian elimination of the solution equation c language. For multiple access very convenient equation

线路微机保护装置的CPU1内部功能程序,与保护原理程序相配合-Circuit Protective Device for the internal functions CPU1 procedures, and protection of the principle of matching procedures

采用有限差分法对二维静电场的数值计算。用mathematica语言编的源程序。-using the finite difference method to two-dimensional electrostatic field of numerical calculation. Using Mathematica addendum to the source.

一个关于adaboost算法的matlab程序，这是我开始接触adaboost研究的程序，有实用价值-this is a adaboost algorithm write with matlab code,and it is my starting program of researching work on adaboost,it is valuable for application

A 3-node example for ad-hoc simulation with DSDV-A 3-node example for ad-hoc simulation with DSDV

成绩单管理系统，非常好-report card management system is very good

利用灰色系统进行预测的几篇好论文: BP神经网络_灰色系统联合模型预测软基沉降量 非线性时间序列神经网络预测方法的研究及应用 股票投资价值灰色马尔可夫预测 股票投资价值灰色系统模型及应用 灰色关联神经网络模型在股指预测中的应用 灰色理论与模型及在车辆拥有量预测中的应用 灰色神经网络交通事故预测比较 灰色神经网络预测模型的应用 灰色-神经网络综合预测模型-Gray prediction system using a few good papers: BP neural network system _ a joint model gray soft ground settlement prediction of nonlinear time series prediction method of neural network research and application of the gray value of equity investments Markov prediction value of the equity investments of the gray system Application of gray relational model and neural network model in forecasting stock gray theory and model and prediction of vehicle ownership in the application of gray neural network traffic prediction compare gray neural network prediction model of the application of gray- the integrated neural network prediction model