ESCHERICHIA-COLI O157-H7 RESTRICTION PATTERN-RECOGNITION BY ARTIFICIAL NEURAL-NETWORK

被引:20
作者
CARSON, CA
KELLER, JM
MCADOO, KK
WANG, DY
HIGGINS, B
BAILEY, CW
THORNE, JG
PAYNE, BJ
SKALA, M
HAHN, AW
机构
[1] UNIV MISSOURI,DEPT VET MICROBIOL,COLUMBIA,MO 65211
[2] UNIV MISSOURI,DEPT ELECT & COMP ENGN,COLUMBIA,MO 65211
[3] UNIV MISSOURI,DEPT VET CLIN SCI,COLUMBIA,MO 65211
[4] MISSOURI DEPT HLTH,JEFFERSON CITY,MO 65101
关键词
D O I
10.1128/JCM.33.11.2894-2898.1995
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
An artificial neural network model for the recognition of Escherichia coli O157:H7 restriction patterns was designed. In the training phase, images of two classes of E. coli isolates (O157:H7 and non-O157:H7) were digitized and transmitted to the neural network. The system was then tested for recognition of images not included in the training set, Promising results were achieved with the designed network configuration, providing a basis for further study. This application of a new generation of computational technology serves as an example of its usefulness in microbiology.
引用
收藏
页码:2894 / 2898
页数:5
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