An artificial neural network for fault detection in the assembly of thread-forming screws-Reference-Cited by-同舟云学术

An artificial neural network for fault detection in the assembly of thread-forming screws

Published:2008-04-13 Issue:3 Volume:19 Page:327-333
ISSN:0956-5515
Container-title:Journal of Intelligent Manufacturing
language:en
Short-container-title:J Intell Manuf

Author:

Chumakov Roman

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Software

Link

http://link.springer.com/content/pdf/10.1007/s10845-008-0085-5.pdf

Reference8 articles.

1. Dorf R. and Bishop R.H. (2001). Modern control systems (9th ed). Prentice-Hall, Upper Saddle River, NJ

2. Elman J.L. (1990). Finding structure in time. Cognitive Science 14: 179–211

3. Grauel A., Ludwig L.A. and Klene G. (1997). Comparison of different intelligent methods for process and quality monitoring. International Journal of Approximate Reasoning 16: 89–117

4. Haykin S. (1998). Neural networks: A comprehensive foundation. Prentice Hall Press, NY

5. Lara B., Seneviratne L.D. and Althoefer K. (2000). Screw insertion error classification using radial basis artificial neural networks. Neural Network World 10(4): 641–652

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