The use of extreme learning machines (ELM) algorithms to prediction strength for cotton ring spun yarn
Author:
Publisher
Springer Science and Business Media LLC
Subject
Marketing,Strategy and Management,Materials Science (miscellaneous),Cultural Studies,Social Psychology
Link
http://link.springer.com/content/pdf/10.1186/s40691-016-0075-8.pdf
Reference21 articles.
1. Bernstein, I. R., Garbin, C. P., & Teng, G. K. (1988). Applied multivariate analysis (pp. 157–197). Berlin: Springer.
2. Chattopadhyay, R., Guha, A., & Jayadeva, G. (2004). Performance of neural networks for predicting yarn properties using principal component analysis. Journal of Applied Polymer Science, 91, 1746–1751.
3. Cheng, L., & Adams, D. L. (1995). Yarn strength prediction using neural networks: part I: fiber properties and yarn strength relationship. Textile Research Journal, 65(9), 495–500.
4. Cybenko, G. (1989). Approximation by superpositions of a sigmoidal function. Mathematical Control Signal System, 1989(2), 303–314.
5. Demuth, H. B., Beale, M., & Hagan, M. T. (2005). Neural network toolbox. The Math Works, 5, 25.
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