A novel multivariate calibration method based on variable adaptive boosting partial least squares algorithm
Sign Up to like & getrecommendations! Published in 2018 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2018.03.013
Abstract: Abstract With the aid of chemometric methods, near-infrared (NIR) spectroscopy is widely applied to the analysis of complex samples. Boosting partial least squares (BPLS) is one of the important approaches and has many applications to… read more here.
Keywords: least squares; novel multivariate; variable adaptive; adaptive boosting ... See more keywords
Machine learning-based compressive strength prediction for concrete: An adaptive boosting approach
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DOI: 10.1016/j.conbuildmat.2019.117000
Abstract: Abstract In this paper, an intelligent approach based on the machine learning technique is proposed for predicting the compressive strength of concrete. This approach employs the adaptive boosting algorithm to construct a strong learner by… read more here.
Keywords: machine learning; adaptive boosting; compressive strength; approach ... See more keywords
On Adaptive Boosting for System Identification
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2017.2754319
Abstract: In the field of machine learning, the algorithm Adaptive Boosting has been successfully applied to a wide range of regression and classification problems. However, to the best of the authors’ knowledge, the use of this… read more here.
Keywords: adaptive boosting; system identification; system; boosting system ... See more keywords