论文信息 - ADAPTIVE FUZZY NEURAL NETWORK FOR INVERSE MODELING OF ROBOT MANIPULATORS

ADAPTIVE FUZZY NEURAL NETWORK FOR INVERSE MODELING OF ROBOT MANIPULATORS

This paper presents a new systematic adaptive fuzzy neural network for inverse modelling of robot manipulators. An inductive learning algorithm is applied to generate the required inverse modelling rules from the robot's input/output records. A full differentiable fuzzy neural network is developed to construct the inverse models of the robot manipulator, while any adaptation technique, such as back-propagation algorithm, can be applied to tune the network parameters online.

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