A study of response surface in simulation of emergency room systems

Correa, Daisy

doi:10.25148/etd.fi14061522

Cited by 2 publications

(2 citation statements)

References 20 publications

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“…This result confirms the conclusions reached by Correa (1999) andSevimoglu (2002) during their research.…”

Section: )supporting

confidence: 82%

“…A quick look at these equations clearly shows the complex polynomial nature of the relationship between inputs and outputs of an ER system. This fact was suspected by Correa (1999), Lee (2002), and Sevimoglu (2002) but they were not able to irrefutable make the statement. With the help of NeuroShell 2, using GMDH, it is now easy to ascertain that any linear relationship of I/O for an ER system is inappropriate.…”

Section: Gmdh Architecturementioning

confidence: 97%

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Using neural networks for goal driven simulation

Clavijo¹

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(n>3) and it does not have domain restrictions. The effectiveness of the framework was tested by observing the computational time required for obtaining responses and for training, and by assessing its accuracy for different scenarios. This framework has achieved the automation objective set by GDS under a shorter time frame, as it reduces the time from more than 42 hours to less than 14. A trained NN generates responses to queries almost instantaneously. However, it requires time re-building and re-training new NNs when changes are made to the system represented by the model. If these changes are rare, the payoff is worthy as this approach gives users more flexibility.

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“…This result confirms the conclusions reached by Correa (1999) andSevimoglu (2002) during their research.…”

Section: )supporting

confidence: 82%

Section: Gmdh Architecturementioning

confidence: 97%