Analysis of Grain Storage Loss Based on Decision Tree Algorithm
| Autor: | Bo Mao, Dongqin Shen, Jie Cao, Bingchan Li, Xueli Liu |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
010504 meteorology & atmospheric sciences
Computer science Decision tree learning Decision tree 02 engineering and technology Grain storage computer.software_genre 01 natural sciences Cross-validation Hyperparameter optimization 0202 electrical engineering electronic engineering information engineering General Earth and Planetary Sciences 020201 artificial intelligence & image processing Data mining computer Decision tree model 0105 earth and related environmental sciences General Environmental Science |
| Zdroj: | ITQM |
| ISSN: | 1877-0509 |
| DOI: | 10.1016/j.procs.2017.11.351 |
| Popis: | Different grain storage factors will cause different degrees of grain loss. In this paper, the data mining method is used to study the loss of grain storage, and the grain loss analysis and forecasting model based on decision tree algorithm is proposed. The paper analyzes and predicts the grain loss caused by different grain storage factors. And the influence of model parameters on model fitting and accuracy is verified by the verification curve. Then the decision tree model is optimized by the method of grid search and cross validation, which improves the prediction accuracy of the decision tree model to analyze the grain loss. |
| Databáze: | OpenAIRE |
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