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1, Mathematical representation of fault information In the figure above, K represents the circuit breaker, and each circuit breaker has an FTU device, which can feed back whether the circuit breaker switch is overcurrent, which represents the uploaded fault information, and reflects whether the fault current flows at each section switch (if th ...

1. Introduction 1 PCA 1.1 Data Dimension Reduction The methods of dimension reduction include principal component analysis (PCA), factor analysis (FA), and independent component analysis (ICA). Principal Component Analysis: Find a vector to minimize the sum of projections from each sample to that vector. Factor analysis: Independent component ...

1, Introduction to particle swarm optimization 1 concept of particle swarm optimization Particle swarm optimization (PSO) is an evolutionary computing technology, which originates from the research on the predation behavior of birds. The basic idea of particle swarm optimization algorithm is to find the optimal solution through the cooperation ...

1, Introduction to ant colony algorithm 1 Overview An algorithm designed to simulate ant foraging behavior (shortest path principle). The foraging characteristics of ant groups are abstracted and transformed into mathematical description. • ant colony algorithm (ACA) was first proposed by Marco Dorigo in his doctoral thesis in 1992. &bu ...

The fourth chapter is the frequency domain analysis of the signal 4.1 General 4.1. 1 limitations of time domain analysis 4.1. 2 advantages of spectrum analysis It is convenient to analyze complex signalsStrong anti-interference abilityIt has clear physical meaning 4.2 periodic signal spectrum analysis 4.2. 1 Orthogonal Decompo ...

I. Introduction 1 Overview BP (Back Propagation) neural network was proposed by the scientific research team headed by Rumelhart and McCelland in 1986. See their paper learning representations by Back Propagation errors published in Nature. BP neural network is a multilayer feedforward network trained by error back propagation algorithm. It i ...

1, SIFT introduction SIFT, scale invariant feature transformation, is a description used in the field of image processing. This description has scale invariance and can detect key points in the image. It is a local feature descriptor. 1. Features of SIFT algorithm (1) It has good stability and invariance, can adapt to the changes of rotation, ...

1, Introduction to UAV 0 Introduction With the development of modern technology, there are more and more types of aircraft, and their applications are becoming more and more specific and perfect, such as Dajiang PS-X625 UAV specially used for plant protection, Baoji Xingyi aviation technology X8 UAV used for street view shooting and monitoring ...

The handwriting database is used. The database has been integrated into the toolbox. Just use it directly. Show a part of the database. The goal is to train the database to achieve the purpose of recognition: Then, the database data is normalized and preprocessed. nnsetup establishes a network, in which many parameters will be in ...

Tip: MATLAB code and experimental data are attached at the end of the article. I hope you can give your valuable suggestions after reading. Thank you first! preface It is suggested that the classical simulated annealing algorithm is an intelligent optimization algorithm with strong robustness, few setting parameters and high fault tole ...