1, Brief introduction of BP neural network traffic sign recognition
Road traffic signs are used to prohibit, warn, instruct and restrict road users to use roads in an orderly manner to ensure travel safety If the road traffic signs can be recognized automatically, the occurrence of road traffic accidents will be greatly reduced However, due to ...
Added by the182guy on Thu, 10 Mar 2022 10:19:15 +0200
In recent years, with the sustained and rapid development of economy and society and the steady improvement of national living standards, cars have gradually entered the lives of ordinary people. The number of cars in China is increasing. Parking difficulties and traffic jams have appeared in many cities. In order to cope with t ...
Added by k9underdog on Tue, 08 Mar 2022 06:48:54 +0200
1 concept of particle swarm optimization algorithm Particle swarm optimization (PSO) is an evolutionary computing technology. From the study of predation behavior of birds. The basic idea of particle swarm optimization algorithm is to find the optimal solution through the cooperation and information sharing among individuals in ...
Added by Kor Ikron on Tue, 08 Mar 2022 03:33:08 +0200
Taking the simple pendulum model as an example, the gray box identification is carried out.
1. Simple pendulum model
Figure 1 tangent force diagram of simple pendulum
The tangent force diagram of a simple pendulum is shown in Figure 1, and the picture comes from the network.
The equation of motion in tangent direction can be simply writte ...
Added by aiikcmo on Mon, 07 Mar 2022 08:14:27 +0200
With the rapid development of intelligent technology and robot system, multi robot system is used more and more widely. The multi task assignment problem of swarm robots is an important research field of multi robot systems. The task assignment problem is a typical combinatorial optimization problem. The research on optimal task ...
Added by Tonka1979 on Sat, 05 Mar 2022 07:53:32 +0200
1.1 TSP introduction
"Traveling salesman problem" (TSP) can be simply described as: a seller starts from one of the n cities, does not repeatedly complete the other n-1 cities and returns to the original starting point, and finds the shortest path among all possible paths.
The route of a traveler can be regarded as a ...
Added by saeed42 on Sat, 05 Mar 2022 07:31:48 +0200
This chapter proposes a speech enhancement algorithm, which is based on Wiener filtering method based on a priori SNR estimation. The initial noise power spectrum is obtained by calculating the statistical average of the silent segment, and the initial noise power spectrum and the noisy speech power spectrum are smoothed to upd ...
Added by tobimichigan on Sat, 05 Mar 2022 02:34:26 +0200
Vector quantization is defined as the process of encoding points in a vector space with a finite subset. In vector quantization coding, the key is the establishment of codebook and codeword search algorithm. For example, the common clustering algorithm is a vector quantization method. In the ANN approximate nearest neighbor sea ...
Added by alohatofu on Fri, 04 Mar 2022 21:48:38 +0200
With the development of pattern recognition, image processing and machine learning, fast and effective automatic recognition and verification technology has attracted extensive attention because of its great theoretical and practical application value. As an important verification means in biometrics, face recognition has achiev ...
Added by bidntrade on Fri, 04 Mar 2022 19:58:53 +0200
Today, let's share how matlab achieves an ant colony optimization algorithm to solve the traveler problem. Ant Colony Optimization (ACO) algorithm is described in detail in the last blog post. A little buddy who needs it can see it https://blog.csdn.net/HuangChen666/article/details/115827732
1. Initialize city information 1.1 Random city ...
Added by Vivid Lust on Thu, 03 Mar 2022 20:55:58 +0200