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首页> 外文期刊>Journal of Harbin Institute of Technology >Robot inverse kinematics based on FCM and fuzzy-neural network
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Robot inverse kinematics based on FCM and fuzzy-neural network

机译:基于FCM和模糊神经网络的机器人逆运动学。

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摘要

Presents a fast and effective method proposed by combining the fuzzy C-means (FCM) and the fuzzy neural network for solving robot inverse kinematics, and its successful application to the robot inverse kinemat- ics and concludes from simulation results that this new method not only has high efficiency and accuracy, but al- so good generalization, and it also overcomes the "dimension disaster" of fuzzy set in a fuzzy neural network fairly well.
机译:提出了一种结合模糊C均值(FCM)和模糊神经网络求解机器人逆运动学的快速有效方法,并将其成功应用于机器人逆运动学,并从仿真结果中得出结论,这种新方法不仅具有很高的效率和准确性,但是泛化效果很好,并且还很好地克服了模糊神经网络中模糊集的“维数灾难”。

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