利用人工神经网络识别大肠杆菌O157:H7限制性酶切图谱
Escherichia coli O157:H7 restriction pattern recognition by artificial neural network.
作者信息
Carson C A, Keller J M, McAdoo K K, Wang D, Higgins B, Bailey C W, Thorne J G, Payne B J, Skala M, Hahn A W
机构信息
Department of Veterinary Microbiology, University of Missouri, Columbia 65211, USA.
出版信息
J Clin Microbiol. 1995 Nov;33(11):2894-8. doi: 10.1128/jcm.33.11.2894-2898.1995.
Abstract
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.
摘要
设计了一种用于识别大肠杆菌O157:H7限制性图谱的人工神经网络模型。在训练阶段，两类大肠杆菌分离株（O157:H7和非O157:H7）的图像被数字化并传输到神经网络。然后对该系统进行测试，以识别未包含在训练集中的图像。所设计的网络配置取得了良好的结果，为进一步研究提供了基础。这种新一代计算技术的应用是其在微生物学中有用性的一个例证。
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