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For: Gorodkin J, Søgaard B, Bay H, Doll H, Kølster P, Brunak S. Recognition of environmental and genetic effects on barley phenolic fingerprints by neural networks. Comput Chem 2001;25:301-7. [PMID: 11339412 DOI: 10.1016/s0097-8485(00)00103-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Number Cited by Other Article(s)
1
Loh HC, Chong KW, Ahmad M. Quantitative Analysis of Formaldehyde Using UV‐VIS Spectrophotometer Pattern Recognition and Artificial Neural Networks. ANAL LETT 2007. [DOI: 10.1080/00032710600867606] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
2
Loh HC, Ahmad M, Taib MN. An Optimization of Optical Fiber Salicylic Acid Sensor Using Artificial Neural Network. ANAL LETT 2005. [DOI: 10.1081/al-200043437] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
3
Ram MS, Seitz LM, Dowell FE. Natural Fluorescence of Red and White Wheat Kernels. Cereal Chem 2004. [DOI: 10.1094/cchem.2004.81.2.244] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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