Forecasting of Grape Juice Flavor by Using Support Vector Regression

The research of juice flavor forecasting has become
more important in China. Due to the fast economic growth in China,
many different kinds of juices have been introduced to the market. If a
beverage company can understand their customers’ preference well,
the juice can be served more attractive. Thus, this study intends to
introducing the basic theory and computing process of grapes juice
flavor forecasting based on support vector regression (SVR). Applying
SVR, BPN, and LR to forecast the flavor of grapes juice in real data
shows that SVR is more suitable and effective at predicting
performance.

• Ren-Jieh Kuo
• Chun-Shou Huang

• Flavor forecasting
• artificial neural networks
• support vector regression
• grape juice flavor.

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