… traditional statistical methods of analysis such as the TNM staging system.1 In this report,
we compare artificial neural networks to the recent use of published Kaplan–Meier plots for …

… ABSTRACT: An artificial neural network is proposed as an expeditious alternative to the trial…
artificial neural networks to replace or supplement the calculation-intensive iterative methods …

… a short introduction to neural networks, we show how neural networks can be used to model
posterior model parameter distributions in general, and how such networks can be used to …

… Over the past 15 years, artificial neural networks (ANNs) have been used increasingly for
prediction and forecasting in water resources and environmental engineering. However, …

… a method for backcalculating pavement layer moduli from FWD data in real time. This was
accomplished by training an artificial neural network to … One neural network was trained using …

… In recent years, Artificial Neural Networks (ANNs) have become extremely popular for
prediction and forecasting in a number of areas, including finance, power generation, medicine, …

… statistical methods of analysis such as the TNM staging system.] In this report, we compare
artificial neural networks to the recent use of published Kaplan-Meier plots for cancer …

… In this paper we introduce a recurrent neural network-based prediction approach. In an …
approach and an EA without prediction. The results show the competitiveness of our approach …

… artificial neural networks (ANNs) are being used increasingly to model water resources
variables. In this technical note, six methods … Lacroix, Applications of artificial neural networks to …

… Kaplan–Meier Survival Curves We performed Kaplan–Meier survival analysis to demonstrate
… Survival curves were generated using the Kaplan–Meier method.24 The generalized …