Escherichia coli O157:H7 restriction pattern recognition by artificial neural network.
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 computation technology serves as an example of its usefulness in microbiology.
Carson
C A
CA
Department of Veterinary Microbiology, University of Missouri, Columbia 65211, USA.
Keller
J M
JM
McAdoo
K K
KK
Wang
D
D
Higgins
B
B
Bailey
C W
CW
Thorne
J G
JG
Payne
B J
BJ
Skala
M
M
Hahn
A W
AW
D000818:Animals; D004269:DNA, Bacterial / Q000032:analysis*; D016521:Electrophoresis, Gel, Pulsed-Field; D004926:Escherichia coli / Q000145:classification* / Q000235:genetics; D005069:Evaluation Studies as Topic; D014644:Genetic Variation; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008962:Models, Theoretical; D016571:Neural Networks, Computer; D011336:Probability; D012984:Software
D004269:DNA, Bacterial