مشاهده مشخصات مقاله
A Performance Comparison of Different Back Propagation Neural Networks in Inverse Kinematics
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نویسنده (ها) |
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Mahdi Hosseini
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Leila Sharif
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مربوط به کنفرانس |
دوازدهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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چکیده |
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 : ۱٠٠,٠٠٠ ریال
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برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
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برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال
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خرید مقاله
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