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A modular neural network architecture for inverse kinematics model learning

✍ Scribed by Eimei Oyama; Arvin Agah; Karl F. MacDorman; Taro Maeda; Susumu Tachi

Book ID
114295852
Publisher
Elsevier Science
Year
2001
Tongue
English
Weight
170 KB
Volume
38-40
Category
Article
ISSN
0925-2312

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This paper proposes new neural network architecture for nonlinear system modeling. The traditional modeling methods with neural network have the following problems: (1) difficulty in analyzing the internal representation, namely, the obtained values of the coupling weights, (2) no reproducibility d