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A brand-new swarm intelligence optimization algorithm called the Sparrow Search Algorithm (SSA) was put forth in 2020. By simulating the foraging process of sparrows, SSA efficiently solves optimization problems, exhibiting advantages such as faster convergence and excellent optimization abilities. This paper introduces the basic principles of the Sparrow Search Algorithm, analyzes its existing issues, summarizes improvements made to existing Sparrow algorithms, and then discusses the application of SSA in deep learning.
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