applied neural networks modeling de azizi aydin (5 résultats)

Taschenbuch. Etat : Neu. Neuware -Wound healing is a complex biological process dependent on multiple variables: tissue oxygenation, wound size, contamination, etc. Many of these factors depend on multiple factors themselves. Mechanisms for some interactions between these factors are still unknown. This research aims to simulate and control of remodeling phase of the wound healing process utilizing Artificial Neural Networks (ANN) as a computational intelligence technique. The approach consists of applying important concepts such as mathematical modeling, finite elements method, and effect of external forces on the scar tissue.Books on Demand GmbH, Überseering 33, 22297 Hamburg 96 pp. Englisch.

Paperback. Etat : Brand New. 96 pages. 8.66x5.91x0.22 inches. In Stock.

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Azizi AydinAydin Azizi is a university professor at the German University of Technology, also he is the Research Focal Point of The Research Council of OMAN (TRC). His research area is Mechatronics focusing on developing and investig.

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Wound healing is a complex biological process dependent on multiple variables: tissue oxygenation, wound size, contamination, etc. Many of these factors depend on multiple factors themselves. Mechanisms for some interactions between these factors are still unknown. This research aims to simulate and control of remodeling phase of the wound healing process utilizing Artificial Neural Networks (ANN) as a computational intelligence technique. The approach consists of applying important concepts such as mathematical modeling, finite elements method, and effect of external forces on the scar tissue. 96 pp. Englisch.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Wound healing is a complex biological process dependent on multiple variables: tissue oxygenation, wound size, contamination, etc. Many of these factors depend on multiple factors themselves. Mechanisms for some interactions between these factors are still unknown. This research aims to simulate and control of remodeling phase of the wound healing process utilizing Artificial Neural Networks (ANN) as a computational intelligence technique. The approach consists of applying important concepts such as mathematical modeling, finite elements method, and effect of external forces on the scar tissue.