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Research on the Robot Wrist Sensor Dynamic Characteristics Based on Improved Genetic Wavelet Neural Networks
2017
DEStech Transactions on Computer Science and Engineering
The multi-dimensional wrist force sensor applied to Motomam V3X robot is introduced. The characteristics of genetic algorithm (GA) and artificial neural networks (ANN) are compared. A novel improved genetic algorithm (IGA) is proposed to train wavelet neural networks (WNN). A kind of new dynamic modeling and dynamic compensation methods are presented based on improved genetic algorithm and wavelet neural networks (IGAWNN) and the principle of algorithm is introduced for the multi-dimensional
doi:10.12783/dtcse/cece2017/14373
fatcat:zpk3cis2nbecloynskftfm4mim