Steigerung der N-Effizienz durch den Einsatz Künstlicher Neuronaler Netze und Support-Vector-Machines zur klein-räumig differenzierten Stickstoffdüngung im Winterweizen.
Benjamin BurgesPeter WagnerPublished in: GIL Jahrestagung (2014)
Keyphrases
- support vector
- learning machines
- large margin classifiers
- cross validation
- logistic regression
- loss function
- generalization ability
- feature selection
- support vector machine
- multi class
- decision function
- maximum margin
- multi class classification
- binary classification
- kernel methods
- kernel function
- classification accuracy
- reduced set
- human intelligence
- social networks
- hyperplane
- ls svm
- case study
- information retrieval
- evolutionary algorithm