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What is Improved PSO Algorithm for Data Classification about?

The document presents an improved variant of the Particle Swarm Optimization (PSO) algorithm, named ORIW-PSO-F, which enhances convergence speed and population diversity for data classification tasks. It introduces a novel initialization method using quasi-random sequences and an opposition rank-based inertia weight approach to improve performance in optimizing feed-forward neural networks across fifteen datasets. Experimental results demonstrate that ORIW-PSO-F outperforms existing techniques, making it ap

Author

Harsh kadam

Language

EN