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Assisted Research and Optimization of the Proper Neural Network Solving the Inverse Kinematics Problem
2012
Advanced Materials Research
Finding the better solution of the neural network design to solve the inverse kinematics problem with the minimum of the trajectory errors is very difficult, because there are many variable parameters and many redundant solutions. The presented paper show the assisted research of the influences of some more important parameters to the final end-effector trajectory errors of the proposed neural network model solving the inverse kinematics problem. We were been studied the number of neurons in
doi:10.4028/www.scientific.net/amr.463-464.827
fatcat:7ff36xrw6zcyhdcc7hkexl6axa