[Back-propagation neural network and genetic algorithm for multi-objective optimization of extraction technology of Cortex Fraxini].
Zhongguo Zhong Yao Za Zhi
; 33(22): 2622-6, 2008 Nov.
Article
em Zh
| MEDLINE
| ID: mdl-19216156
ABSTRACT
OBJECTIVE:
To introduce Back-propagation (BP) neural network and genetic algorithm for multi-objective optimization of extraction technology of Cortex Fraxini.METHOD:
BP neural network was established and optimized with uniform design. Genetic algotithm was used for multi-objective optimization of extraction technology of cortex fraxini.RESULT:
the optimization of extraction was as follows extraction temperature was 99 degrees C, concentration of EtOH was 50%, liquid-solid ratio was 7, extraction time was 94 min. The proportional error between predictive value and practical measured value was just -1.16% and -5.14%.CONCLUSION:
Back-propagation neural network and genetic algorithm for multi-objective optimization of extraction technology of cortex fraxini is advisable.
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Base de dados:
MEDLINE
Assunto principal:
Algoritmos
/
Medicamentos de Ervas Chinesas
/
Redes Neurais de Computação
Tipo de estudo:
Prognostic_studies
Idioma:
Zh
Ano de publicação:
2008
Tipo de documento:
Article