A data-driven study for evaluating fineness of cement by various predictors
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Link
http://link.springer.com/content/pdf/10.1007/s13042-014-0280-y.pdf
Reference31 articles.
1. Bao Y, Hu Z, Xiong T (2013) A PSO and pattern search based memetic algorithm for SVMs parameters optimization. Neurocomputing 117:98–106
2. Bao Y, Xiong T, Hu Z (2014) PSO-MISMO modelling strategy for multi-step-ahead time series prediction. IEEE Trans Cybern 44(5):655–668
3. Berthold MR, Borgelt C, Höppner F (2010) Guide to intelligent data analysis. Springer, London
4. Cherkassky V, Ma Y (2004) Practical selection of SVM parameters and noise estimation for SVM regression. Neural Netw 17:113–126
5. Cherkassky V, Ma Y (2005) Multiple model regression estimation. IEEE Trans Neural Netw 16(4):785–798
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