مشاهده مشخصات مقاله
A Performance Comparison of Different Back Propagation Neural Networks in Inverse Kinematics
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Authors |
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Mahdi Hosseini
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Leila Sharif
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Conference |
دوازدهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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Abstract |
Error Back Propagation, a class of neural networks, is proposed to solve the inverse kinematics problem in
robotic manipulator. In this approach a network has been trained to learn a desired set of joint angles positions
from a given set of end effectors positions. This paper demonstrates some methods of Back Propagation neural
network which can be used to solve inverse kinematics. Next the performance of these methods has been
compared for inverse kinematics problems.
The used Error Back Propagation techniques are the Standard, Momentum and Delta Bar- Delta. |
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قیمت |
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برای اعضای سایت : 100,000 Rial
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برای دانشجویان عضو انجمن : 20,000 Rial
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برای اعضای عادی انجمن : 40,000 Rial
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خرید مقاله
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