[1]胡康,何思宇,左敏,等.基于CNN-BLSTM的化妆品违法违规行为分类模型[J].智能系统学报,2021,16(6):1151-1157.[doi:10.11992/tis.202104001]
 HU Kang,HE Siyu,ZUO Min,et al.Classification model for judging illegal and irregular behavior for cosmetics based on CNN-BLSTM[J].CAAI Transactions on Intelligent Systems,2021,16(6):1151-1157.[doi:10.11992/tis.202104001]
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基于CNN-BLSTM的化妆品违法违规行为分类模型

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备注/Memo

收稿日期:2021-04-01。
基金项目:国家自然科学基金项目(61873027);教育部人文社会科学研究青年基金项目(20YJCZH229);北京市自然科学基金项目(4202014);北京市教委科研计划项目(KM202010011011)
作者简介:胡康,高级工程师,主要研究方向为食品、药品、化妆品、医疗器械监管检验方面的人工智能和大数据研究。参与国家、省重点研发计划等项目;2017年获得吴文俊人工智能三等奖等。发表学术论文13篇;何思宇,硕士研究生,主要研究方向为自然语言处理、大数据;左敏,教授,博士生导师,主要研究方向为化妆品安全大数据、化妆品安全追溯。主持国家重点研发计划课题、承担中国工程院战略研究课题多项。2009年被评为“北京市中青年骨干教师”,2017年获得吴文俊人工智能三等奖。发表学术论文40余篇.
通讯作者:左敏.E-mail:zuomin12345@126.com

更新日期/Last Update: 2021-12-25
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