Architectures of artificial neural networks for predicting shelf-life of oil-in-water emulsion

This data includes information on structures of 6 artificial neural networks aimed to analyze data from the shelf-life testing experiment and predict the changes in peroxide value, creaming index and total sensory value during the period of storage.本数据集包含6个人工神经网络（artificial neural networks）的结构信息，这些网络旨在分析保质期测试实验的相关数据，并预测存储期间过氧化值、乳析指数与总感官值的变化情况。