info_dis_fdod

programer test is peogramming

BP（Back Propagation）网络是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。 BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。 它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。 通过对信息的提取以及记忆，用作分类、聚类、预测等。 (BP (Back Propagation) network is a pre-press error back propagation algorithm Multilayer feedforward network, is one of the most widely used neural network model. BP network can learn and store a large amount of input- output mode mapping without prior reveal mathematical equations that describe the mapping relationship. It s learning rule is to use the steepest descent method, by reverse spread to constantly adjust the network weights and thresholds and the minimum sum of squared error of the network. BP neural network topology comprises an input layer (input), hidden layer (hide layer) and an output layer (output layer). By extracting information and memory, it is used as classification, clustering, prediction.)

Image hiding - Steganography This program to hide a text file in 24-bit bitmap image

matlab simulink教程。适用与matlab的电力系统建模仿真。包括电机，电源，电力电子，和新型电力器件的仿真建模。(matlab simulink)

open charechter stics recognization in matlab/simulink

云变换，逆向云发生器实例,打开后即可在MATLAB中运行(examples about cloud transformation and back cloud transformation)

这是matlab的遗传算法工具箱，在matlab的环境下使用，用于求解多目标优化问题(This is a matlab genetic algorithm toolbox in matlab environment used for solving multi-objective optimization problem)

用MATLAB实现对图像图像的处理，图像的BTC编码。(MATLAB implementation of the image by image processing, image of the BTC coding.)

And installation of HBase architecture

基于FARIMA的网络自相似业务流模型的研究与仿真 包含三个函数：av.m、far.m、zsrs.m。具体说明见论文及模型说明(Research and simulation of self-similar traffic model based on a FARIMA the network consists of three functions: av.m far.m, zsrs.m. Specific instructions, see papers and model description)