http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Hamid Reza Fard Masoumi,Mahiran Basri,Anuar Kassim,Dzulkefly Kuang Abdullah,Yadollah Abdollahi,Siti Salwa Abd Gani,Malahat Rezaee 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.4
A wavelet neural network (WNN) based on the genetic algorithm (GA) was used in conjunction with an experimental design to optimize the enzymatic reaction conditions for the preparation of esteramines-based esterquats. A set of experiments was designed by central composite design to process modeling and statistically evaluate the findings. Five independent process variables, including enzyme amount, reaction time, reaction temperature, substrates molar ratio and agitation speed were studied under the given conditions designed by Design Expert software. All these show that the WNN has great potential ability in prediction of reaction conversion in lipase-catalyzed synthesis of products.