A high-performance approach on mechanism isomorphism identification based on an adaptive hybrid genetic algorithm for digital intelligent manufacturing-Reference-Cited by-同舟云学术

A high-performance approach on mechanism isomorphism identification based on an adaptive hybrid genetic algorithm for digital intelligent manufacturing

Published:2009-07-31 Issue:4 Volume:25 Page:397-403
ISSN:0177-0667
Container-title:Engineering with Computers
language:en
Short-container-title:Engineering with Computers

Author:

Yang Ping,Zeng Kehan

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,General Engineering,Modelling and Simulation,Software

Link

http://link.springer.com/content/pdf/10.1007/s00366-009-0132-7.pdf

Reference13 articles.

1. Galan-Marin G et al (2007) Improving neural networks for mechanism kinematic chain isomorphism identification. Neural Process Lett 26:133–143

2. Kong FG, Li Q, Zhang WJ (1999) An artificial neural network approach to mechanism kinematic chain isomorphism identification. Mech Mach Theory 34:271–283

3. Cubillo JP, Wan Jinbao (2005) Comments on mechanism kinematic chain isomorphism identification using adjacent matrices. Mech Mach Theory 40:131–139

4. Rao AC, Varada Raju D (1991) Application of the Hamming number technique to detect isomorphism among kinematic chains and inversions. Mech Mach Theory 26(1):55–75

5. Rao AC (1997) Hamming number technique: I. Further applications. Mech Mach Theory 32(4):477–488

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