linear weighted moving average

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Simple moving average, weighted moving average, exponential smoothed moving average

Types of moving AveragesThe moving average can be divided into "arithmetic moving average", "weighted moving average", "exponential smoothed moving average" three kinds.1. Arithmetic moving average (MA)The arithmetic moving average is a simple and

Machine learning--Linear Algebra Basics _ Machine Learning

Original address Mathematics is the foundation of computer technology, linear algebra is the basis of machine learning and deep learning, the best way to understand the knowledge of the data I think is to understand the concept, mathematics is not

A survey of moving target tracking algorithms

A survey of moving target tracking algorithms Moving target tracking is an indispensable link in video surveillance system. In certain scenes, some classical algorithms can achieve better target tracking effect. This paper introduces the general

Time Series Analysis Method)

  The time series prediction method is an extended prediction of historical data, also known as the extended Prediction Method of history. It is a method of extending the process and regularity of social and economic phenomena reflected by the time

Foundation of Image Processing-convolution, filtering, and smoothing

/* Today, my younger brother asked me about convolution, filtering, smoothing, and so on ...... What do these concepts mean? What are the differences and connections between them? After a while, I learned CV, convolution, filtering, smoothing ......

Data analysis and modeling _ Data analysis

Copyright Description: Content from the internet and books Principal component Analysis PCA1. Basic Ideas Principal component Analysis (PCA) is a kind of reduced-dimension method for continuous variables, which can maximize the interpretation of

Summary of common interpolation methods in image processing

Common interpolation methods 1. Nearest Element Method This is the simplest method of interpolation and does not need to be calculated. In the four adjacent pixels of the desired pixel, the gray scale of the adjacent pixel closest to the desired

Introduction to machine learning--talking about neural network

Introduction to machine learning--talking about neural network This article transferred from: http://tieba.baidu.com/p/3013551686?pid=49703036815&see_lz=1#Personal feel is very full, especially suitable for contact with neural network novice. Start

Some knowledge points of image convolution and filtering

Some knowledge points of image convolution and filtering[Email protected]Http://blog.csdn.net/zouxy09Before learning CNN, there are some study and collation of convolution, later on the rotten tail, and now a little tidying up, first put up to

Tricks efficient BP (inverse propagation algorithm) in neural network training

Tricks efficient BP (inverse propagation algorithm) in neural network trainingTricks efficient BP(inverse propagation algorithm) in neural network training[Email protected]Http://blog.csdn.net/zouxy09tricks! It's a word that's filled with mystery

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