Artificial Neural Networks to Forecast Failures in Water Supply Pipes

Artificial Neural Networks to Forecast Air Pollution

Artificial neural networks: applications in pain physiology

Artificial neural networks (ANNs) are intelligent systems that have successfully been used for prediction in different medical fields. In this study, the capability of ANN in predicting body behavior in pain-producing situations is evaluated. A three-layer back-propagation ANN is designed using MATLAB software. The inputs include the magnitude of stimulation in pain fibers, touch fibers and cen...

Artificial neural networks: applications in pain physiology

Artificial neural networks (ANNs) are intelligent systems that have successfully been used for prediction in different medical fields. In this study, the capability of ANN in predicting body behavior in pain-producing situations is evaluated. A three-layer back-propagation ANN is designed using MATLAB software. The inputs include the magnitude of stimulation in pain fibers, touch fibers and cen...

Estimating Water Depths Using Artificial Neural Networks

The real-time Everglades Depth Estimation Network (EDEN) has been established in the Everglades of South Florida, USA, to support a variety of scientific and water-management purposes. The expansiveness of the Everglades, limited number of gauging stations, and extreme sensitivity of fauna to small changes in water depth have created a need for accurately predicting water depths at locations be...

Artiicial Neural Networks to Forecast Air Pollution

European laws concerning urban and suburban air pollution requires the analysis and implementation of automatic operating procedures in order to prevent the risk for the principal air pollutants to be above alarm thresholds (e.g. the Directive 2002/3/EC for ozone or the Directive 99/30/CE for the particulate matter with an aerodynamic diameter of up to 10 μm, called PM10). As an example of Euro...