Comfort Study of General Aviation Pilot Seats Based on Improved Particle Swam Algorithm (IPSO) and Support Vector Machine Regression (SVR)

Comfort Study of General Aviation Pilot Seats Based on Improved Particle Swam Algorithm (IPSO) and Support Vector Machine Regression (SVR)

Little work has been carried out to predict the comfort of aircraft seats, a component in close contact with the human body during travel. In order to more accurately predict the nonlinear and complex relationship between subjective and objective evaluations of comfort, this paper proposes a predict...

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Bibliographic Details
Main Authors: Mengyang Zhang, Xuyinglong Zhang, Shan Gao, Yujie Zhu
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Applied Sciences
Subjects:
comfort
support vector machine regression
improved particle swarm algorithm
LASSO regression
predictive model
Online Access:https://www.mdpi.com/2076-3417/13/15/9038

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