Regression with Gradient Descent; A coefficient finding technique for the desired system model.

四个月前，我在公众号上线了一个关于生成Excel模板代码的工具HaoTemplate，“MATLAB如何制作Excel模板(附赠工具)”。一个月前，我在公众号上线了一个工程类小工具集锦HaoEngineering，“你好，打浦桥科技”。我一…

Efficiently computing values of permutation entropy from 1D time series in sliding windows

Toolbox for nonlinear analysis of multivariate time series with ordinal-patterns-based measures

Fast calculation of robust permutation entropy from 1D time series in sliding windows

Permutation entropy for ordinal patterns with tied ranks from 1D time series in sliding windows

CondEn.m computes efficiently conditional entropy of ordinal patterns from 1D time series.

Efficiently computing distribution and sequence of ordinal patterns from 1D time series

首先看看这是什么函数吧.理解一下为什么我说它是"最无聊, 最无用"的函数.uplus就是Unary plus.看到这个函数描述, 感觉这个函数没什么用啊.再看这个函数给出的例子:C与A相同, 为什么不直接赋值?!比如:A = [1 -3; -2…

Orthogonal Linear Regression by using PCA

My guest blogger today is Sebastian Gross. He is an engineer in our academia team in Munich, Germany, and works with our university customers to make them successful in research and teaching. In today’s post he introduces TopoToolbox[1,2].ContentsOverviewImporting…

Automatic speech-to-text conversion

3D holes detection algorithm

Learn the basics of how to create, edit, and simulate Simulink models through an interactive tutorial.

It is comparing the GDP Prediction using ARIMA (Autoregressive Integrated Moving Average) and NAR (Nonlinear Autoregressive Neural Network).

Use ARIMA Model to predict real life stock data

it use Machine Learning in MATLAB to predict the buying-decision of Stock by using real life data.

This example is basically to demonstrate how to register a new face, label new face, extract features and recognise the face in real time.