Predicting recurrent aphthous ulceration using genetic algorithms-optimized neural networks

OBJECTIVE: To construct and optimize a neural network that is capable of predicting the occurrence of recurrent aphthous ulceration (RAU) based on a set of appropriate input data. PARTICIPANTS AND METHODS: Artificial neural networks (ANN) software employing genetic algorithms to optimize the archite...

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Detalles Bibliográficos
Autores principales: Dar-Odeh, Najla S, Alsmadi, Othman M, Bakri, Faris, Abu-Hammour, Zaer, Shehabi, Asem A, Al-Omiri, Mahmoud K, Abu-Hammad, Shatha M K, Al-Mashni, Hamzeh, Saeed, Mohammad B, Muqbil, Wael, Abu-Hammad, Osama A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2010
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3170012/
https://www.ncbi.nlm.nih.gov/pubmed/21918622

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3170012/
https://www.ncbi.nlm.nih.gov/pubmed/21918622

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