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Optimizing Parameters of Support Vector Machines Using an Enhanced Whale Optimization Algorithm

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成果类型:
期刊论文
作者:
Yang Wenzhuo;Liu Shuo
作者机构:
[Yang Wenzhuo; Liu Shuo] School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan
语种:
英文
期刊:
2023 2nd Asia Conference on Electrical, Power and Computer Engineering (EPCE)
年:
2023
页码:
151-157
机构署名:
本校为第一机构
院系归属:
数学与计算机学院
摘要:
To enhance the parameters of the kernel function in the conventional support vector machine (SVM) - σ and penalty factor C - an advanced whale optimization algorithm (IWOA) is introduced within this article to optimize the SVM parameter model (IWOA-SVM). The IWOA algorithm is employed to augment the optimization capability of the original whale optimization algorithm, focusing on three key aspects: Firstly, the chaotic circle mapping technique is utilized to produce the initial positions of the initial whale population, which serves as a found...

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