Emery Coppola - Lawrenceville NJ, US Mary Poulton - Tucson AZ, US Ferenc Szidarovszky - , US
International Classification:
G06E001/00 G06E003/00 G06G007/00 G06F015/18
US Classification:
706/021000
Abstract:
The present invention relates to a method and apparatus, based on the use of a neural network (NN), for (a) predicting important groundwater/surface water output/state variables, (b) optimizing groundwater/surface water control variables, and/or (c) sensitivity analysis, to identify physical relationships between input and output/state variables used to model the groundwater/surface water system or to analyze the performance parameters of the neural network.
Neural Network Based Predication And Optimization For Groundwater / Surface Water System
Emery Coppola - Lawrenceville NJ, US Mary Poulton - Tucson AZ, US Ferenc Szidarovszky - Tucson AZ, US
International Classification:
G06F 15/18
US Classification:
706021000
Abstract:
The present invention relates to a method and apparatus, based on the use of a neural network (NN), for (a) predicting important groundwater/surface water output/state variables, (b) optimizing groundwater/surface water control variables, and/or (c) sensitivity analysis, to identify physical relationships between input and output/state variables used to model the groundwater/surface water system or to analyze the performance parameters of the neural network.
System For Improving Mine Safety And A Method For Using Same
A worksite safety system and method is disclosed. The system uses wearable sensors to collect biometric data from workers. The data are used to compute a worker's core body temperature on the basis of an individual profile associating historical biometric data with measured core body temperature. If the computed core body temperature crosses certain thresholds, alert actions are performed.
Isbn (Books And Publications)
Computational Neural Networks for Geophysical Data Processing