ABSTRACT There are some major difficulties when predicting shelf life of chilled Penaeus vannamei in practice, such as numerous prediction indexes, complicated index measurement methods, and low prediction accuracy. In order to overcome these complications, the Grey Relational Analysis (GRA) was first employed to determine the correlation degree between the quality indexes of chilled Penaeus vannamei and the remaining shelf life. The results have revealed that sensory score and pH value are the two most highly relevant quality indicators of the remaining shelf life of chilled Penaeus vannamei, with the relational degree of 0.8567 and 0.8285, respectively. The sensory score, pH value, and the critical environmental index – temperature were selected as the input parameters of Support Vector Regression (SVR) prediction model. The experimental results showed that the prediction accuracy of SVR prediction model based on GRA is 95.66%, which is similar to that of the SVR model based on all indexes (95.5%) and higher than that of the traditional dynamic model (90.08%). By reducing the dimensions of the prediction indexes, simplifying the measurement methods of indexes, and ensuring relatively high prediction accuracy, the SVR shelf-life prediction model for chilled Penaeus vannamei based on GRA is more feasible for practical use.

中文翻译：

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使用灰色关联分析和支持向量回归预测冷藏南美白对虾的保质期

摘要 冰鲜南美白对虾保质期预测在实践中存在着预测指标众多、指标测量方法复杂、预测精度低等主要困难。为了克服这些并发症，首先采用灰色关联分析（GRA）来确定冷藏南美白对虾的质量指标与剩余货架期的相关程度。结果表明，感官评分和pH值是南美白对虾剩余货架期相关度最高的两个质量指标，相关度分别为0.8567和0.8285。感官评分、pH值和临界环境指标——温度被选为支持向量回归（SVR）预测模型的输入参数。实验结果表明，基于GRA的SVR预测模型的预测精度为95.66%，与基于所有指标的SVR模型的预测精度（95.5%）相近，高于传统动态模型的预测精度（90.08%）。通过减少预测指标的维度，简化指标的测量方法，保证较高的预测精度，基于GRA的冷冻南美白对虾SVR货架期预测模型更具有实际应用的可行性。