Abstract
In this paper, it applys Gaussian loss function instead of ε-insensitive loss function in a standard SVRM to devise a new model and a new type of support vector classification machine whose optimization problem is easier to solve and has conducted effective test on open data set in order to apply the new algorithm to environment monitoring in greenhouse plants and the monitoring result is better than any other method available.
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Yan, M., Zhang, Q., Zhang, J. (2011). Support Vector Machine to Monitor Greenhouse Plant with Gaussian Loss Function. In: Li, D., Liu, Y., Chen, Y. (eds) Computer and Computing Technologies in Agriculture IV. CCTA 2010. IFIP Advances in Information and Communication Technology, vol 344. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18333-1_40
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DOI: https://doi.org/10.1007/978-3-642-18333-1_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-18332-4
Online ISBN: 978-3-642-18333-1
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