Programming VIP

I. Introduction to BP neural network prediction algorithm Note: Section 1.1 is mainly to summarize and help understand the principle of BP neural network algorithm considering influencing factors, that is, the explanation of conventional BP model training principle (whether to skip according to their own knowledge). Section 1.2 begins with the ...

1, Introduction Histogram of oriented gradient (HOG) is a feature descriptor for target detection in the field of computer vision and image processing. This technique is used to count the number of directional gradients or information in the local image. This method is similar to edge direction histogram, scale invariant feature transformation ...

1, Introduction to gesture recognition (with course assignment report) 1 system design scheme This year, gesture recognition, as a new generation of human-computer interaction means, has attracted the attention and research of domestic and foreign researchers and companies, and has made outstanding achievements. It has been widely used in smar ...

Preliminary Object Oriented matlab function Writing of ordinary functions in matlab function Return value=Function name(Parameter 1,Parameter 2,...,parameter n) Function Body end end and function indentation alignment is not required void return value type if return value position does not write class Defining a class requires a se ...

1, Introduction to cellular automata Development of cellular automata The original cellular automata was proposed by von Neumann in the 1950s to simulate the self replication of biological cells However, it has not been valued by the academic community In 1970, after John Horton Conway of Cambridge University designed a computer game "lif ...

1, Introduction to grey Wolf algorithm 1 Preface: Grey Wolf Optimizer (GWO) is a population intelligent optimization algorithm proposed by Mirjalili, a scholar at Griffith University in Australia, in 2014. Inspired by the gray wolf's prey hunting activities, the algorithm is an optimization search method. It has the characteristics of strong ...

I. neural network support vector machine Support vector machine was first proposed by Cortes and Vapnik in 1995. It shows many unique advantages in solving small sample, nonlinear and high-dimensional pattern recognition, and can be extended to other machine learning problems such as function fitting. 1 mathematical part 1.1 two dimensional sp ...

1. General ∙ \bullet · generation: in 1975, Holland proposed GA ∙ \bullet · source: biological evolution: natural selection, survival of the fittest; Biological g ...

I. Introduction 1. Overview of basic principle of template matching When comparing two images, the first basic problem we face is: when are the two images the same or similar, and how to measure the similarity of the two images? Of course, the general method is that when the gray values of all pixels of the two images are the same, we think ...

1, Working environment Operating system: Win10 Development environment: Matlab 2019b (camera driver package required) Camera: USB binocular camera, supporting UVC standard protocol 1. Install the OS Generic Video Interface Plug in the camera and enter the command (webcam) in the Matlab command line window. If the following interface app ...