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Branch line coupler design using Matlab

matlabPPt教程后续部分，讲述Matlab基础知识(matlabPPt up part of the tutorial, basic knowledge about Matlab )

本文采用小波神经网络进行交通流量预测，短时交通流量存在随机性和非线性因素，影响预测的准确性。传统预测模型难以反映交通流量变化特点，同时传统神经网络易陷入局部极小值，泛化能力差，交通流量预测精度低。为了提高短时交通流量预测精度，提出一种小波神经网络的短时交通流量预测模型。小波神经网络可以对短时交通流量随机性、不确定性进行局部分析，并进行非线性预测，验证了模型的有效性，进行了对比试验。验证结果表明，小波神经网络提高了短时交通流量预精度，预测结果更具应用价值。(In this paper, wavelet neural network is used to forecast traffic flow. There are random and nonlinear factors in short-term traffic flow, affecting the accuracy of prediction. The traditional prediction model is difficult to reflect the characteristics of traffic flow changes. At the same time, the traditional neural network is easy to fall into the local minimum, the generalization ability is poor, and the prediction accuracy of traffic flow is low. In order to improve the accuracy of short-term traffic flow forecasting, a short-term traffic flow prediction model based on wavelet neural network is proposed. The wavelet neural network can analyze the randomness and uncertainty of short-term traffic flow and perform nonlinear prediction. The validity of the model is verified and a comparative experiment is conducted. The verification results show that the wavelet neural network improves the short-term traffic flow pre-precision, and the prediction result has more application value.)

不是matlab本身的小程序，自己编写的语音分帧程序供大家参考(Matlab itself is not a small procedure, I have written procedures for voice sub-frame reference to U.S.)

compression algorithm-matlab code

遗传算法优化神经网络代码，大家可以下载，方法很简单，(Genetic algorithm neural network code, you can download, the method is very simple,)

风水火联合调度:建立兼顾联合运行系统经济效益最大和弃风电量最小的风-水-火联合运行系统多目标优化调度模型，基于优先配置风蓄联合发电系统，再优化常规火电机组出力的思路，综合考虑了风电不确定性对抽水蓄能机组的影响、风蓄联合运行系统对常规火电机组的影响以及多台常规火电机组的机组组合问题。(Wind and joint scheduling)

说明：  matlab经典算法的介绍与提高的法门！(classical algorithm matlab introduction and enhancement of the key!)

霍夫变化的方法提取直线，图像处理方面的应用。(Extraction of straight line Hough changes in the application of image processing)

主成分分析matlab程序，里面包含子程序，运用时直接调用主程序即可，可用于无监督模式学习(Principal component analysis matlab program, which contains a subroutine, the main program can be called directly when applying, can be used for unsupervised learning mode)