Pulling force prediction using neural networks.

Journal: International journal of occupational safety and ergonomics : JOSE
Published Date: Mar 23, 2018

Abstract

PURPOSE: In ergonomics and human factors investigations, pulling force (PF) estimation has usually been achieved using various types of biomechanical models, and independent approximation of PF was done with the help of upper extremity joints. Recently, multiple regression methods have gained importance for task-relevant inputs in predicting PF. Artificial neural networks (ANNs) also play a vital role in fitting the data; however, their use in work-related biomechanics and ergonomics is inadequate. Therefore, the current research aimed to accomplish comparative investigation of ANN and regression models by assessing their capacity to predict PF values.

Authors

  • Rahul Jain
    a University Teaching Department , Rajasthan Technical University Kota , India.
  • Makkhan Lal Meena
    b Department of Mechanical Engineering , Malaviya National Institute of Technology Jaipur , India.
  • Manoj Kumar Sain
    b Department of Mechanical Engineering , Malaviya National Institute of Technology Jaipur , India.
  • Govind Sharan Dangayach
    b Department of Mechanical Engineering , Malaviya National Institute of Technology Jaipur , India.

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