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1, Introduction to ELM neural network 1 Introduction Extreme learning machine is not a new thing, but has new content in algorithm (method). In terms of neural network structure, it is a forward propagation neural network, and the significance of previous blog posts. 2 ELM's biggest innovation 1) The connection weight between the input layer ...

1, Introduction to license plate recognition License plate recognition technology originated in the early 1980s. Image pattern recognition and computer vision play an important role in it. With the rapid popularization and progress of computer technology, the license plate recognition system was gradually put into the market and used in the mi ...

1, Introduction 1 dark channel a priori image defogging method 1.1 light transmittance model Due to the scattering of light in propagation, only part of the radiation emitted from the light source can reach the receiving sensor, and the others are scattered into the propagation medium. Assuming that the scattered light intensity is linear with ...

1, Introduction of shooting simulation system 1 subject description 2 subject modeling process a) First, obtain the parameters of the weapon, and calculate the response common deviation of the weapon in direction and height from these parameters; b) Second, the deviation of direction and height in the shooting process is normally distributed. ...

1, Introduction to image denoising and filtering 1 image denoising 1.1 definition of image noise Noise is an important factor that interferes with the visual effect of image. Image denoising refers to the process of reducing noise in image. There are three kinds of noise classification: additive noise, multiplicative noise and quantization noi ...

In order to reduce information redundancy and reduce the dimension of data, the optimal band feature combination is established by using the optimal index factor (OIF). Its basic principle is: the amount of information covered in the image is directly proportional to its standard deviation. The larger the standard deviation, the more informatio ...

1, Introduction to ant lion algorithm 1. Principle ALO algorithm simulates the hunting mechanism of ant lion in nature. Their name comes from their unique hunting behavior and their favorite prey. The ant lion moves along a circular path and uses its huge jaw to dig a conical pit in the sand. After digging the trap, hide at the bottom of the ...

(11.1) opening and closing of documents fid = fopen(fileName,permission); fid returns an integer when the file is opened successfully, and - 1 when the file is not opened successfully. permission is the opening mode of the file, 'r' represents opening in read mode (default), 'w' represents opening in write mode, 'r +' represents openi ...

I. limit learning machine Single hidden layer feedback neural network has two outstanding capabilities: (1) The complex mapping function f: x ^ t can be fitted directly from the training samples (2) it can provide models for a large number of natural or artificial phenomena that are difficult to deal with by traditional classification parame ...

I. flower pollination algorithm Flower Pollination Algorithm (FPA) was proposed by Yang, a scholar at Cambridge University in 2012. Its basic idea comes from the simulation of natural flower self pollination and cross pollination. It is a new meta heuristic swarm intelligent random optimization technology. In order to simplify the calculation, ...