Author:
Khayyam Hamid,Golkarnarenji Gelayol,Jazar Reza N.
Publisher
Springer International Publishing
Reference97 articles.
1. Abd, A. M., & Abd, S. M. (2017). Modelling the strength of lightweight foamed concrete using support vector machine (SVM). Case Studies in Construction Materials, 6, 8–15.
2. Ali, A. B. M. S. (2009). Dynamic and advanced data Mining for Progressing Technological Development: Innovations and systemic approaches: Innovations and systemic approaches. Information Science Reference.
3. Ali, S., & Smith, K. A. (2006). On learning algorithm selection for classification. Applied Soft Computing, 6, 119–138.
4. Balabin, R. M., & Lomakina, E. I. (2011). Support vector machine regression (SVR/LS-SVM)—An alternative to neural networks (ANN) for analytical chemistry? Comparison of nonlinear methods on near infrared (NIR) spectroscopy data. Analyst, 136, 1703–1712.
5. Barrett, J. D. (2007). Taguchi’s quality engineering handbook. Taylor & Francis.
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献