2011 | OriginalPaper | Chapter
Support Vector Machine to Monitor Greenhouse Plant with Gaussian Loss Function
Authors : Manfu Yan, Qing Zhang, Jianhang Zhang
Published in: Computer and Computing Technologies in Agriculture IV
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
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.