Using electronic nose to recognize fish spoilage with an optimum classifier

被引:0
作者
Meisam Vajdi
Mohammad J. Varidi
Mehdi Varidi
Mohebbat Mohebbi
机构
[1] Ferdowsi University of Mashhad,Department of Food Science and Technology
来源
Journal of Food Measurement and Characterization | 2019年 / 13卷
关键词
Electronic nose; Hyper disk models; Neural network; Pattern recognition; Quadratic programming; Real-time data acquisition;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:1205 / 1217
页数:12
相关论文
共 92 条
[1]  
Domingo J(2007)Benefits and risks of fish consumption Part I. A quantitative analysis of the intake of omega-3 fatty acids and chemical contaminants Toxicology 230 219-226
[2]  
Bocio A(2012)Benefits, public health hazards and risks associated with fish consumption N. Y. Sci. J. 5 33-61
[3]  
Falc´ G(2010)Metal oxide sensors for electronic noses and their application to food analysis Sensors 10 3882-3910
[4]  
Adedeji OB(2000)Computational methods for the analysis of chemical sensor array data from volatile analytes Chem. Rev. 100 2649-2678
[5]  
Okerentugba PO(2005)Pizza sauce spread classification using colour vision and support vector machines J. Food Eng. 66 137-145
[6]  
Innocent-Adiele HC(2012)Meat and fish freshness inspection system based on odor sensing Sensors 12 15542-15557
[7]  
Okonko IO(2006)Monitoring the freshness of moroccan sardines with a neural-network based electronic nose Sensors 6 1209-1223
[8]  
Berna A(1993)Statistics using neural networks: chance effects J. Med. Chem. 36 1295-1297
[9]  
Jurs PC(2013)Large hyper disk based large margin classifier Pattern Recogn. 46 1523-1531
[10]  
Bakken GA(1999)Machine learning and data mining Commun. ACM 42 30-36