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人工神经网络在新鲜奶酪中的应用现状及发展前景
Application and Development of Artificial Neural Network in Fresh Cheese
【摘要】 综述新鲜奶酪中马苏里拉奶酪和哈罗米奶酪的研究进展以及人工神经网络(artificial neural network,ANN)在新鲜奶酪领域中的应用现状,并分析当前应用ANN方法的优势及存在的问题。除此之外,ANN在新鲜奶酪领域中的未来发展前景是基于深度算法,实现对生产过程的多目标预测和多工艺参数优化,为提高新鲜奶酪的工艺优化效率和优化质量提供理论依据。
【Abstract】 This paper reviewed fresh mozzarella cheese and halloumi cheese and the application of artificial neural network(ANN)in the field of fresh cheese. Meanwhile,the current advantages and problems of this method were analyzed. In the future,deep learning should be used to optimize the ANN model so that it can predict multiple indexes and multiple parameters in the production of fresh cheese. This review is expected to lay a theoretical basis for improving the process optimization efficiency and quality of fresh cheese.
【关键词】 新鲜奶酪;
人工神经网络;
应用现状;
工艺优化;
发展前景;
【Key words】 fresh cheese; artificial neural network; application; process optimization; development prospects;
【Key words】 fresh cheese; artificial neural network; application; process optimization; development prospects;
【基金】 上海乳业生物工程技术研究中心科研计划项目(19DZ2281400)
- 【文献出处】 食品研究与开发 ,Food Research and Development , 编辑部邮箱 ,2023年23期
- 【分类号】TS252.53;TP183
- 【下载频次】229