Learning procedure in a neural control model for the urinary bladder
| Autor: | J. Vanderschoot, Johan L. Van Leeuwen, Erica H. C. Bastiaanssen |
|---|---|
| Rok vydání: | 1993 |
| Předmět: |
medicine.medical_specialty
Urinary bladder Quantitative Biology::Neurons and Cognition Artificial neural network Computer science business.industry Urology Physics::Medical Physics Models Neurological Urinary Bladder medicine.anatomical_structure Control theory medicine Neural control Life Science Animals Humans Nervous System Physiological Phenomena Artificial intelligence Neurology (clinical) Neural Networks Computer business Gradient descent Volume (compression) |
| Zdroj: | Neurourology and Urodynamics 12 (1993) 3 Neurourology and Urodynamics, 12(3), 285-288 |
| ISSN: | 0733-2467 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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