Prediction of Five Softwood Paper Properties from its Density using Support Vector Machine Regression Techniques
Predicting paper properties based on a limited number of measured variables can be an important tool for the industry. Mathematical models were developed to predict mechanical and optical properties from the corresponding paper density for some softwood papers using support vector machine regression...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
North Carolina State University
2016-01-01
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| Series: | BioResources |
| Subjects: | |
| Online Access: | http://ojs.cnr.ncsu.edu/index.php/BioRes/article/view/BioRes_11_1_1892_Garcia_Gonzalo_Prediction_Five_Softwood_Paper_Properties |