Annalen der PhysikVolume 534, Issue 8 2270017 MastheadFree Access Masthead: Ann. Phys. 8/2022 First published: 08 August 2022 https://doi.org/10.1002/andp.202270017AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text full-text accessPlease review our Terms and Conditions of Use check box below share version article.I have read accep...

346. Longterm carriage of Ciprofloxacin-Resistant E. Coli Isolates among Nursing Home (NH) Residents Miriam Ismail, MPH; Ting Luo, MPH; Usha Srinivasan, PhD; Lona Mody, MD, MSc; Sara Mcnamara, MT(ASCP), MPH; Bonnie Lansing; Betsy Foxman, PhD; Epidemiology, University of Michigan, Ann Arbor, MI; Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI; Department...

In this study, a functional model of ANN is proposed to aid existing diagnosis methods. This work investigated the use of Artificial Neural Networks (ANN) in predicting the Thrombo-embolic stroke disease. The Backpropogation algorithm was used to train the ANN architecture and the same has been tested for the various categories of stroke disease. This research work demonstrates that the ANN bas...

Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA The Wharton School, University of Pennsylvania, Philadelphia, PA Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA Abt Associates, Cambridge, MA VA Health Services Research and Development Center of Excellence, VA Ann Arbor Healthcare System, Ann Arbor, MI Division of ...

In order to model traffic stream speed resulting from complex interactions among different vehicle types in a heterogeneous/mixed traffic volume, an Artificial Neural Networks (ANN) approach is exploited. Two different categories of ANN model are attempted based on input vectors used. The performance of both categories of ANN model is evaluated using traditional evaluation framework. In additio...

in the present study iran’s rice imports trend is forecasted, using artificial neural networks and econometric methods, during 2009 to 2013, and their results are compared. the results showed that feet forward neural network leading with less forecast error and had better performance in comparison to econometric techniques and also, other methods of neural networks, such as recurrent networks a...

In this study, it was tried to identify some heart rhythm disorders by electrocardiography (ECG) data that is taken from MIT-BIH arrhythmia database by subtracting the required features, presenting to artificial neural networks (ANN), artificial immune systems (AIS), artificial neural network based on artificial immune system (AIS-ANN) and particle swarm optimization based artificial neural net...

BACKGROUND Iturin A is a potential lipopeptide antibiotic produced by Bacillus subtilis. Optimization of iturin A yield by adding various concentrations of asparagine (Asn), glutamic acid (Glu) and proline (Pro) during the fed-batch fermentation process was studied using an artificial neural network-genetic algorithm (ANN-GA) and uniform design (UD). Here, ANN-GA based on the UD data was used f...

The design of a complete expansion that allows for compact representation of certain relevant classes of signals is a central problem in signal processing applications. Achieving such a representation means knowing the signal features for the purpose of denoising, classification, interpolation and forecasting. Multilayer Neural Networks are relatively a new class of techniques that are mathemat...