Particle Swarm Optimization Method for Image Classification Scene
This paper proposes an optimization method based on particle swarm algorithm to solve the problem of feature selection in image classification tasks.First,the basic principles of particle swarm optimization is deeply studied.Then,particle swarm optimization algorithm is introduced for feature selection.Finally,support vector machine is used for image classification.The experimental results show that the proposed particle swarm optimization method significantly improves the accuracy of image classification,and the method has good consistency and robustness.
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