Fault restoration of six-axis force/torque sensor based on optimized back propagation networks

HIGHLIGHTS

• who: Xuhao Li and colleagues from the Institutes of Physical Science and Information Technology, Anhui University, Hefei, China have published the research: Fault Restoration of Six-Axis Force/Torque Sensor Based on Optimized Back Propagation Networks, in the Journal: Sensors 2022, 22, 6691. of /2022/
• what: In this work each dimension of a F/T is regarded as an element in the input vector and the relationships among dimensions can be obtained using optimized BPNN. The authors proposed a fault restoration method based on the particle swarm optimization (PSO) algorithm optimizing back propagation neural_networks (BPNN . . .
  

   

  

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