Dangosydd eitem ddigidol (DOI)

Urodynamics is a clinical test in which time series data is recorded measuring internal pressure readings as the bladder is filled and emptied. Two sets of descriptive statistics based on various pressure events from urodynamics tests have been derived from time series data. The suitability of these statistics for use as inputs for event classification through neural networks is investigated by means of the gamma test. BFGS neural network models are constructed and their classification accuracy measured. Through a comparison of the results, it is shown that the gamma test can be used to predict the reliability of models before the neural network training phase begins.

Iaith wreiddiolSaesneg
TeitlResearch and Development in Intelligent Systems XXVIII
Is-deitlIncorporating Applications and Innovations in Intel. Sys. XIX - AI 2011, 31st SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel.
Tudalennau299-310
Nifer y tudalennau12
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 1 Rhag 2011
Digwyddiad31st SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2011 - Cambridge, Y Deyrnas Unedig
Hyd: 13 Dec 201115 Dec 2011

Cyfres gyhoeddiadau

EnwRes. and Dev. in Intelligent Syst. XXVIII: Incorporating Applications and Innovations in Intel. Sys. XIX - AI 2011, 31st SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel.

Cynhadledd

Cynhadledd31st SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, AI 2011
GwladY Deyrnas Unedig
DinasCambridge
Cyfnod13/12/1115/12/11

ID: 3960475