Back-propagation neural network and genetic algorithm for multi-objective optimization of extraction technology of Cortex Fraxini / 中国中药杂志

ABSTRACT

<p><b>OBJECTIVE</b>To introduce Back-propagation (BP) neural network and genetic algorithm for multi-objective optimization of extraction technology of Cortex Fraxini.</p><p><b>METHOD</b>BP neural network was established and optimized with uniform design. Genetic algotithm was used for multi-objective optimization of extraction technology of cortex fraxini.</p><p><b>RESULT</b>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%.</p><p><b>CONCLUSION</b>Back-propagation neural network and genetic algorithm for multi-objective optimization of extraction technology of cortex fraxini is advisable.</p>