A hybrid PSO optimized SVM-based model for predicting a successful growth cycle of the Spirulina platensis from raceway experiments data

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Title
A hybrid PSO optimized SVM-based model for predicting a successful growth cycle of the Spirulina platensis from raceway experiments data
Authors
Keywords
Support vector machines (SVMs), Particle Swarm Optimization (PSO), Spirulina platensis, Chlorophyll a monitoring, Hyperparameter selection
Journal
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
Volume 291, Issue -, Pages 293-303
Publisher
Elsevier BV
Online
2015-01-17
DOI
10.1016/j.cam.2015.01.009

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