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Conductivity reconstruction of edema in human brain based on modified genetic algorithm / 生物医学工程学杂志
Journal of Biomedical Engineering ; (6): 268-284, 2007.
Artículo en Chino | WPRIM | ID: wpr-357719
ABSTRACT
It is the intent of this study to estimate the progression or regression of edema at the bedside continuously. Based on the theoretic model, the Adaptive Genetic Algorithm (AGA) has been applied in the calculation of conductivity reconstruction. Dynamic crossover and mutation operators which are based on Haiming Distance are brought forward in this paper to maintain generation's diversity. Then, both AGA and Standard GA (SGA) have been applied in the conductivity reconstruction of edema in human brain. It is shown that AGA not only has attained a higher degree of efficiency but also has enhanced the capability to converge to the best answer.
Asunto(s)
Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Asunto principal: Patología / Algoritmos / Simulación por Computador / Lesiones Encefálicas / Impedancia Eléctrica / Edema / Modelos Biológicos Tipo de estudio: Estudio pronóstico Límite: Humanos Idioma: Chino Revista: Journal of Biomedical Engineering Año: 2007 Tipo del documento: Artículo

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Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Asunto principal: Patología / Algoritmos / Simulación por Computador / Lesiones Encefálicas / Impedancia Eléctrica / Edema / Modelos Biológicos Tipo de estudio: Estudio pronóstico Límite: Humanos Idioma: Chino Revista: Journal of Biomedical Engineering Año: 2007 Tipo del documento: Artículo