| Popis: |
Soluble solids contents (SSC) is the general term of monosaccharide, disaccharide and polysaccharide, and is one of the key evaluation indexes of apple taste and nutritional quality. According to the prediction of soluble solid content in Red Fuji apple, a method based on Genetic Algorithm and Extreme Learning Machine was proposed. Genetic Algorithm (GA) was used to select the best near-infrared spectrum of Fuji apple, and the prediction model of Extreme Learning Machine (ELM) was established. The prediction correlation coefficient of the model was 0.9723, and the prediction root mean square error was 0.1855. The experimental results show that the predicted results are in good agreement with the actual data, which plays a good role in the prediction of soluble solid content. |
