Comfort prediction of office chair surface material based on the issa-lssvm

HIGHLIGHTS

  • who: Xuyinglong Zhang et al. from the Material Science and Engineering College, Northeast Forestry University, Harbin, China have published the paper: Comfort Prediction of Office Chair Surface Material Based on the ISSA-LSSVM, in the Journal: Sensors 2022, 22, 9822. of /2022/
  • what: This investigation shows that the sparrow search algorithm has the benefits of a simple structure, simple implementation, few control parameters, and great local search capacity when compared to the conventional heuristic method. The aim of this work is to develop a robust and accurate model for predicting the surface comfort of office . . .

     

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