Modeling of robot inverse kinematics using two ANN paradigms

• 主要な著者: Yang, S.S., Moghavvemi, M., Tolman, J.D.
• フォーマット: Conference or Workshop Item
• 出版事項: Elsevier Science 2000
• 主題: TA Engineering (General). Civil engineering (General)
• オンライン･アクセス: http://eprints.um.edu.my/9681/

The performance of two artificial neural networks, trained to learn data obtained from the kinematics model of a robotic arm, was compared. The trained artificial neural network (ANN) simulators were implemented to position the robotic manipulator demonstrating the feasibility of using ANN technolog...