Inhaltsangabe
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.
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Reseña del editor
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.
Biografía del autor
Aydin 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 investigating different Artificial Intelligent Techniques to model, control and optimize the complex nonlinear systems.
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Applied Neural Networks: Modeling and Control of Wound Healing Process
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LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202061790
ISBN 13: 9786202061797
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Applied Neural Networks: Modeling and Control of Wound Healing Process
Verlag:
LAP LAMBERT Academic Publishing Okt 2017, 2017
ISBN 10: 6202061790
ISBN 13: 9786202061797
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Taschenbuch. Zustand: 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. Artikel-Nr. 9786202061797
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