Improved Salp Swarm Algorithm for Tool Wear Prediction

Improved Salp Swarm Algorithm for Tool Wear Prediction

To address the defects of the salp swarm algorithm (SSA) such as the slow convergence speed and ease of falling into a local minimum, a new salp swarm algorithm combining chaotic mapping and decay factor is proposed and combined with back propagation (BP) neural network to achieve an effective predi...

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Bibliographic Details
Main Authors: Yu Wei, Weibing Wan, Xiaoming You, Feng Cheng, Yuxuan Wang
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Electronics
Subjects:
attenuation factor
back propagation neural network
chaotic mapping
salp swarm algorithm
tool wear
Online Access:https://www.mdpi.com/2079-9292/12/3/769

Internet

https://www.mdpi.com/2079-9292/12/3/769

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