Robot inverse kinematics via neural and neurofuzzy networks: architectural and computational aspects for improved performance

DOI10.1080/02522667.2007.10699780zbMath1168.68584OpenAlexW2005677821MaRDI QIDQ3534457

Spyros N. Raptis, E. S. Tzafestas

Publication date: 3 November 2008

Published in: Journal of Information and Optimization Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02522667.2007.10699780

zbMATH Keywords

neural networksradial basis function networksdata preprocessingfuzzy associative memoryneurofuzzy cell

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Kinematics of mechanisms and robots (70B15) Artificial intelligence for robotics (68T40)

Cites Work

• Unnamed Item
• Application of fuzzy logic for the solution of inverse kinematics and hierarchical controls of robotic manipulators
• Data Storage in the Cerebellar Model Articulation Controller (CMAC)
• Learning Algorithms for Neural Networks Based on Quasi-Newton Methods With Self-Scaling

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