Prediction of Dental Milling Time-Error by Flexible Neural Trees and Fuzzy Rules-Reference-Cited by-同舟云学术

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Prediction of Dental Milling Time-Error by Flexible Neural Trees and Fuzzy Rules

Published:2012 Issue: Volume: Page:842-849
ISSN:0302-9743
Container-title:Intelligent Data Engineering and Automated Learning - IDEAL 2012
language:
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Author:

Krömer Pavel,Novosád Tomáš,Snášel Václav,Vera Vicente,Hernando Beatriz,García-Hernandez Laura,Quintián Héctor,Corchado Emilio,Redondo Raquel,Sedano Javier,García Alvaro E.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-32639-4_100.pdf

Reference15 articles.

1. Affenzeller, M., Winkler, S., Wagner, S., Beham, A.: Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications. Chapman & Hall/CRC (2009)

2. Chang, P., Liao, T.: Combining som and fuzzy rule base for flow time prediction in semiconductor manufacturing factory. Applied Soft Computing 6(2), 198–206 (2006)

3. ISRL;Y. Chen,2010

4. Chen, Y., Yang, B., Meng, Q.: Small-time scale network traffic prediction based on flexible neural tree. Appl. Soft Comput. 12(1), 274–279 (2012)

5. Custodio, L.M.M., Sentieiro, J.J.S., Bispo, C.F.G.: Production planning and scheduling using a fuzzy decision system. IEEE Trans. on Robotics and Automation 10(2), 160–168 (1994)

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1. Beta Hebbian Learning as a New Method for Exploratory Projection Pursuit;International Journal of Neural Systems;2017-03-16

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