A classification rules extraction algorithm base on fish swarm optimization
نویسنده
چکیده
Group classification rules extraction is an important task in pattern recognition. In this paper, we proposed a classification rules extraction algorithm base on fish swarm optimization. There are two main works in this article: firstly, fish swarm optimization is introduced. Secondly, a classification rules extraction algorithm is proposed. The proposed algorithm provides a good practicability and a promising future for pattern identification.
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