zishiying

relic is matlab code for classification

说明：  双闭环buck变换器模型，matlab simulink 仿真(Double closed loop buck converter model)

Matlab函数解析经典教程Analysis of the classic tutorial Matlab function(Analysis of the classic tutorial Matlab function Analysis of the classic tutorial Matlab function)

基于matlabd的关于双馈感应风电系统的建模仿真，可以可视化了解系统的动态过程(giving a kind of Modeling and simulation of Doubly Fed Induction generator (DFIG) coupled with wind turbine visualising the advantages of the DFIG over other generators it is being used for most of the wind applications About the different type)

A system simulation environment in Matlab/Simulink of RFID is constructed in this paper. Special attention is emphasized on the analog/RF circuit.Negative effects are concerned in the system model,such as phase noise of the local oscillator,TX-RX coupling,reflection of the environment, AWGN noise,DC offset,I/Q mismatch,etc.Performance of the whole system can be evaluated by changing the coding method,parameters of building blocks,and operation distance.Finally,some simulation results are presented in this paper.

start up induction motor direct online

基于DTW的语音情感识别！运行环境MATLAB!(Speech Emotion Recognition Based on DTW! Operating environment MATLAB!)

模拟时钟30秒，非常漂亮的界面，实时读取准确时间(Analog clock for 30 seconds, a very beautiful interface, real-time read accuracy)

bp_innerloop.m Inner loop of the backpropagtion learning algorithm. One hidden layer. Uses tanh as the transfer function. Uses the following global variables for input and/or output: Inputs1 - input patterns Desired - desired output patterns LearnRate - learning rate parameter Momentum - momentum parameter DerivIncr - increment to the derivative of the transfer function (Fahlman s trick typical value 0.2) Weights1 - first weight layer (updated by this routine) Weights2 - second weight layer (updated by this routine) deltaW1 - initialize to 0 before first call deltaW2 - initialize to 0 before first call TSS - total sum-squared error (set by this routine) Recurrent state

使用MATLAB编写的qdudqz神经网络算法，本程序根据训练好的网络文件DNViuWY预测新的数据文件，得到算法的最差性能和最优性能，并绘制出预测数据和原数据的对比图。调试运行正常。 (Using MATLAB preparedqdudqz neural network algorithm, the program according to the trained network fileDNViuWY anticipating new data files to obtain the best performance and the worst performance of the algorithm, and draw out the comparison chart data and predict the original data. Debugging and running properly. )