Learning procedure in a neural control model for the urinary bladder

Erica H.C. Bastiaanssen*, Jan Vanderschoot, Johan L. van Leeuwen

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

5 Citations (Scopus)

Abstract

A continuous neural network coupled to a dynamical model of the urinary bladder is defined. The neural network is trained to control the bladder model to track a prescribed volume fluctuation, by adjusting weights and time constants. The gradients of the error in the output neurons of the neural network are unknown. Therefore, the learning procedure discussed here minimizes the error functional without using gradient descent.

Original languageEnglish
Pages (from-to)285-288
Number of pages4
JournalNeurourology and Urodynamics
Volume12
Issue number3
DOIs
Publication statusPublished - 1993
Externally publishedYes

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