Kernel functions embedded in support vector machine learning models for rapid water pollution assessment via near-infrared spectroscopy

Title
Kernel functions embedded in support vector machine learning models for rapid water pollution assessment via near-infrared spectroscopy
Authors
Keywords
Water pollution, Near-infrared spectroscopy, Least squares support vector machine, Logistic-based network, Kernel functions
Journal
SCIENCE OF THE TOTAL ENVIRONMENT
Volume 714, Issue -, Pages 136765
Publisher
Elsevier BV
Online
2020-01-18
DOI
10.1016/j.scitotenv.2020.136765

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