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解惑“仙踪林compelimited”-环球时报

机器学习算仙踪林compelimited法能闻酒香识产地?国际最新研究称表现优于人类专家

来源: 驱动之家
2024-12-20 18:49:59

最佳回答

“仙踪林compelimited”机器学习算仙踪林compelimited法能闻酒香识产地?国际最新研究称表现优于人类专家

  中新仙踪林compelimited网北京12月20日电 (记仙踪林compelimited者 孙自法)施普林格自然旗下专业学术期刊《通讯—化学》最新发表一篇化学研究论文,研究人员提出两种仙踪林compelimited机器学习算法能够确定一种威士忌来自美国还是苏格兰,并识别其最强烈的香气。这项研究结果还表明,在评估威士忌最强烈香气方面,算法的表现优于人类专家。

  该论文介绍,威士忌的香气是由多种复杂香味化合物混合而成,因此,仅依据分子组成来评估或预测一种威士忌的香气特征非常困难,通常需要人类专家组成的小组来识别威士忌最强烈的香气特征,但这需要大量时间、金钱和培训投入,而且参与者之间往往意见不统一。

3位论文作者代表在实验室里对一种威士忌进行分析交流。(图片来自:弗劳恩霍夫工艺工程与包装研究所)

  在本项研究中,论文通讯作者、德国弗劳恩霍夫工艺工程与包装研究所Andreas T. Grasskamp和同事合作,用两种算法评估了7种美国威士忌和9种苏格兰威士忌的分子组成,这两种算法一个命名为OWSum,是由论文作者开发的分子气味预测算法;另一个则是一种神经网络。分子组成数据来自气相色谱法和质谱分析的现有结果,这两种技术被用于分离和识别混合物中的成分。

  论文作者用算法识别每种威士忌的产地国和最强烈的5种香气特征,随后将算法结果与由11名专家组成的小组得出的结果进行比较。结果显示,OWSum能够识别一种威士忌的产地是美国还是苏格兰,准确度超过90%;检测到薄荷醇和香茅醇与美国威士忌的分类最为密切相关,而癸酸甲酯和庚酸的存在与苏格兰威士忌分类的关系最为密切;OWSum将焦糖味识别为美国威士忌最具特征性的香气,而将苹果味、溶剂味和酚感(常被描述为烟熏味或药味)视为苏格兰威士忌最具特征性的气味。最后,两种算法平均而言,都能比任何一位人类专家更准确稳定地识别出特定威士忌5种最强烈的香气。

  论文作者总结认为,他们这次研究的方法能够对威士忌进行快速的算法分类,并识别其香气中的关键特征。(完)

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